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Durga Sankar Rath
Chaitali Dutta
Krishnapada Majumder
B. K. Sen
Kalipada Jana
Soumen Teli
Dyuti Samanta
Debabrata Maity

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Journal of Information and Knowledge (Formerly SRELS Journal of Information Management)

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Dutta, Bidyarthi

Scientometric Study of Carbon Nanotube Research in India

Abstract Views :349 | PDF Views:15

Authors

Bidyarthi Dutta ¹, Durga Sankar Rath ²

Affiliations
1 Department of Library and Information Science, Vidyasagar University, Midnapore 721 102, West Bengal, IN
2 Department of Library & Information Science, Vidyasagar University, Midnapore 721 102, West Bengal, IN

Source

Journal of Information and Knowledge (Formerly SRELS Journal of Information Management), Vol 50, No 5 (2013), Pagination: 639-655

Abstract

This paper reports on a scientometric study of 834 articles on Carbon nanotube research in India spanning over the years 1999 to 2012 downloaded from Web of Science. The study analyses literature growth trends, which shows an initiation of potential growth of research in this subject since 2008. It also examines collaborations with different countries. The authorship pattern, document types involved and active Indian institutions co-coordinating research in this subject have also been studied. Bradford law of scattering was applied to identify the core journals and Lotka's law to study the authors productivity pattern.

Keywords

Scientometrics, Informetrics, Bibliometrics, Carbon Nanotube, Nanotechnology, Nanoscience, Bradford'S Law, Lotka'S Law, Research Trend, India

Full Text

References

http://en.wikipedia.org/wiki/Emerging_technologies (Retrieved on 4/6/2013 at 3.47 PM)

http://en.wikipedia.org/wiki/Nanotechnology (Retrieved on 4/6/2013 at 4.04 PM)

http://en.wikipedia.org/wiki/Carbon_nanotube (Retrieved on 4/6/2013 at 4.10 PM)

http://www.ipt.arc.nasa.gov/carbonnano.html (Retrieved on 4/6/2013 at 4.17 PM)

Bhattacharya, S. and Shilpa. (2011) Mapping nanotechnology research and innovation in India. DESIDOC Journal of Library and Information Technology, 31(5): 349-58.

Kostoff, R.N. et al. (2006b) The structure and infrastructure of the global nanotechnology literature. Journal of Nanoparticle Research, 8: 301-21.

Meyer, M. (2007) What do we know about innovation in nanotechnology? Some propositions about an emerging field between hype and path-dependency. Scientometrics, 70(3): 779-810.

Leydesdroff, L. (2007) Betweenness centrality as an indicator of the interdisciplinarity of scientific journals. Journal of American. Society of Information Science and Technology, 58(9): 1302-319.

Marx, W. and Barth, A. (2010) Carbon nanotubes- a scientometric study, Carbon Nanotubes, Jose Mauricio Marulanda (Ed.), ISBN: 978-953-307-054-4, InTech, Available from: http://www.intechopen.com/books/ carbon-nanotubes/carbon-nanotubes-a-scientometric-study

Patra, S. K. and Bhattacharya, P. (2005) Bibliometric study of cancer research in India, DESIDOC Journal of Library & Information Technology, 25(2): 11-18.

Patra, S. K. and Chand, P. (2007) HIV/AIDS research in India: A bibliometric study, Library & Information Science Research, 29(1): 124-34.

Patra, S. K. and Chand, P. (2005) Biotechnology research profile in India, Scientometrics, 63(3): 583-97.

Patra, S. K.; Bhattacharya, P. and Verma, N. (2006) Bibliometric study of literature on bibliometrics, DESIDOC Journal of Library & Information Technology, 26(1): 27-32.

Patra, S. K. and Chand, P. (2006) Library and information science research in India: A bibliometric study, Annals of library and information studies, 53(4): 219-23.

Patra, S. K. and Mishra, S. (2006) Bibliometric study of bioinformatics literature, Scientometrics, 67(3): 477-89.

Kumara, A. et al. Bibliometric and Scientometric Studies in Physics and Engineering: Recent Ten Years Analysis, 2009. In Putting Knowledge to Work: Best Practices in Librarianship, Mumbai (India), 1-2 May2009. [Conference Paper]

Jain, A. and Garg, K.C. (1992) LASER research in India: scientometric study and model projections, Scientometrics, 23(3): 395-415.

Kademani, B.S. et. al. (2006) World literature on thorium research: A scientometric study based on Science Citation Index, Scientometrics, 69(2): 347-64.

Stanhill, G. (2001) The growth of climate change science: a scientometric study, Climatic Change, 48(2-3): 515-24.

Garg, K.C. and Padhi, P. (1998) Scientometric study of LASER patent literature, Scientometrics, 43(3): 443-54.

Upadhye, R.P. et. al. (2004) Scientometric analysis of synchronous references in the Physics Nobel lectures, 1981-1985: A pilot study, Scientometrics, 61(1): 55-68.

Lee, C.K. (2003) A scientometric study of the research performance of the Institute of Molecular and Cell Biology in Singapore, Scientometrics, 56(1): 95-110.

Schummer, J. (1997) Scientometric studies on chemistry I: the exponential growth of chemical substances, 1800-1995, Scientometrics, 39(1): 107-23.

Braun, T; Schubert, A.P. and Kostoff, R.N. (2000) Growth and trends of Fullerene research as reflected in Its journal literature, Chemical Review, 100: 23-37.

Gupta, V.K. (1999) Technological trends in the area of Fullerenes using bibliometric analysis of patents, Scientometrics, 44(1): 17-31.

Gupta, V.K. and Pangannaya, N.B. (2000) Carbon nanoitubes: bibliometric analysis of patents, World Patent Information, 22(3): 185-9.

Sen, B.K. Cybermetrics-Meaning, Definition, Scope and Constituents WIS-2004, International Workshop onWebometrics, Informetrics and Scientometrics, (eds.). Hildrun Kretschmer, Yogendra Singh, and Ramesh Kundra,. (2-5 March, 2004).Organised by Society for Information Science, New Delhi, and Indian Institute ofTechnology, Roorkee, India, pp. 310-315

Lancaster, F.W. (1986) Vocabulary control for information retrieval, Ed. 2. Information Resources, Arlington, V.A.

Bradford, S.C. (1934) Sources of information on specific subjects. Engineering: An Illustrated Weekly, 137(3550): 85-6.

Lotka, A.J. (1926) The frequency distribution of scientific productivity. Journal of the Washington Academy of Science, 16: 317-23.

Ranganathan S.R. (1967) Prolegomena to Library Classification. London: Asia Publishing House.

Mechanism of Keyword formation in Research Articles on Physics: An Empirical Study

Abstract Views :278 | PDF Views:14

Authors

Chaitali Dutta ¹, Bidyarthi Dutta ²

Affiliations
1 West Bengal Board of Secondary Education, 77/2, Park Street, Kolkata 16, IN
2 Department of Library and Information Science, Vidyasagar University, Midnapore 721 102, West Bengal, IN

Source

Journal of Information and Knowledge (Formerly SRELS Journal of Information Management), Vol 50, No 1 (2013), Pagination: 3-22

Abstract

This study is based on 5,112 author-assigned 'Associated keywords' culled out from 1,238 research papers selected from eleven different journals of physics published by American Institute of Physics. The research papers from each issue have been chosen by the method of random sampling. All these keywords have been formed from 10,156 single words and/or keywords through 6,718 contextual relationships. The keywords assigned by the respective authors of the concerned articles have only been taken for study, but no keyword was collected from anywhere of any article by either of the Authors of this paper in order to avoid biasness. It has been mathematically established that the formation of 'Associated keywords' from single words and/or keywords depends on contextual relationships exist among different single words and/or keywords. The name given to contextual relationship is 'Alliance potential', and a new parameter has been defined to measure the rate of keyword formation per unit 'Alliance potential'. The name given to this new parameter is 'Associated keyword formation coefficient' or AKFC. This parameter remains constant for a particular journal and varies over different journals. The constancy of AKFC for ten physics journals has been verified and this has been manifested as a characteristic feature of a journal belonging to a specific subject domain.

Keywords

Single Keyword, Associated Keyword, Contextual Relationship, Information Retrieval, Keyword Cluster Analysis, Keyword Indexing, Associated Keyword Formation Coefficient, Keyword-in-Context, Keywords in Physics.

Full Text

References

Hartley, J. & Kostoff, R.N. (2003) How useful are ‘keywords’ in scientific journals? Journal of Information Science. 29: 433–438.

Bottle, R.T. (1970) The information content of titles in engineering literature, IEEE Transactions on Engineering Writing. EWS-13, 1970: 41-45.

Hansen, I. (1972) Evaluation of the database CA condensates compared with chemical titles, Journal of Chemical Documentation. 12: 101-109.

Kraft, D.H. (1964) Comparison of keyword-in-context indexing of titles with a subject-heading classification system, American Documentation. 15: 48-52.

Lancaster, F.W. (1972) Vocabulary Control for Information Retrieval, (Information Resources Press; Washington DC).

Olive, G. & Terry, J.E. & Datta, S. (1973) Studies to compare retrieval using titles with that using index terms, Journal of Documentation. 29: 169-191.

Ruhl, M.J. (1964) Chemical documents and their titles: Human concept indexing vs. KWIC machine indexing, American Documentation. 15: 136-141.

Byrne, J.R. (1975) Relative effectiveness of titles, abstracts and subject headings for machine retrieval from the COMPENDEX services, Journal of the American Society for Information Science. 26: 223-229.

Voorbij, H.J. (1998) Title keywords and subject descriptors: A comparison of subject search entries of books in the humanities and social sciences, Journal of Documentation. 54: 466-476.

Dubois, C.P R. (1987) Free text vs. controlled vocabulary; a reassessment, Online Review. 11: 243-253.

Taylor, A G. (1995) On the subject of subjects, Journal of Academic Librarianship. 21: 484-491.

Bertrand, A & Cellier, J.M. (1995) Psychological approach to indexing effects of the operator’s expertise upon indexing behaviour, Journal of Information Science. 21: 459-472.

Suraud, M.G. et al. (1995) On the significance of databases keywords for a large-scale bibliometric investigation in fundamental physics, Scientometrics. 33: 41-63.

Bates, M.J.; Wilde, D.N. & Siegfried, S. (1993) An analysis of search terminology used by humanities scholars: the Getty Online Searching Project Report, No.1, Library Quarterly. 63: 1-39.

Hurt, C.D. (1997) Classification and subject analysis: looking to the future at a distance, Cataloging and Classification Quarterly. 24: 97-112.

Soergel, D. et al. (2004) Re-engineering thesauri for new applications: the AGROVAC example, Journal of Digital Information. 4. (Also available at: http://jodi.ecs.soton.ac.uk/Articles/v04/i04/Soergel/)

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Dutta, B.; Majumder, K.P. & Sen, B.K. (2008) Classification of keywords extracted from research articles published in science journals. Annals of Library and Information Studies. 55: 317-333.

Dutta, B.; Majumder, K.P. & Sen, B.K. (2009) An analytical model for investigation of some characteristics of the keywords of the subject Fermi liquid: A case study. Annals of Library and Information Studies. 56: 273- 290.

Evans, V. & Green, M. Cognitive linguistics: an introduction, (Edinburgh University Press; Edinburgh), c2006 589-590.

Ibid.

Aronoff, M. & Rees-Miller, J. (2003) The handbook of linguistics, (Oxford: Blackwell).

Ibid.

Content Management by Keywords:An Analytical Study

Abstract Views :250 | PDF Views:10

Authors

Bidyarthi Dutta ¹, Krishnapada Majumder ², B. K. Sen ³

Affiliations
1 St. Xavier‘s College, 30, Park Street, Kolkata 700016, IN
2 Department of Library and Information Science, Jadavpur University, Kolkata, IN
3 Shivalik Apartments, Alaknanda, New Delhi 110019, IN

Source

Journal of Information and Knowledge (Formerly SRELS Journal of Information Management), Vol 47, No 6 (2010), Pagination: 599-620

Abstract

Various methods of content analysis are described here with special emphasis on keyword analysis. This study is based on an analytical study of 97 keywords extracted from titles and abstracts of 70 research articles, taking ten from each year starting from 2000 to 2006, in decreasing order of relevance, on the subject Fermi Liquid, which is a specific subject under the broad area of Condensed Matter Physics. The keywords beginning with the letters 'A' to 'F' only are considered for this study. The research articles have been collected from the bibliographic database of INSPEC. The keywords are indexed to critically examine its physical structure that is composed of three fundamental kernels, viz. keyphrase, modulator and qualifier. The keyphrase reflects the central concept, which is usually post-coordinated by the modulator to amend the central concept in accordance with the relevant context. The qualifier comes after the modulator to describe the particular state of the central concept and/or amended concept. The keywords are further classified in 36 classes on the basis of the 10 parameters, of which 4 parameters are intrinsic, i.e. Associativeness, chronological appearance, frequency of occurrence and category; and remaining 6 parameters are extrinsic, i.e. Clarity of meaning, type of meaning, scope of meaning, level of perception, mode of creation and area of occurrence. The number of classes under 4 intrinsic parameters is 16, while the same under 6 extrinsic parameters are 20. A new taxonomy of keywords has been proposed here that will enable to analyze research-trend of a subject and to identify potential research-areas under the scope of the same.

Keywords

Content Management, Content Analysis, Keyword Cluster Analysis, Keyword Taxonomy, Condensed Matter Physics, Fermi Liquid, Structure of Keyword, Intrinsic Criteria of Keyword, Extrinsic Criteria of Keyword.

Full Text

References

Berelson (B). Content analysis in communications research. New York: Free Press, 1952.

Kippendorff (K). Content analysis: An introduction to its methodology. (2nd ed.). Thousand Oaks, CA: Sage, 2004.

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Cambrosio (A); et al. Historical scientometrics? Mapping over 70 years of biological safety research with co-word analysis. Scientometrics. Vol. 27(2); 1993; p119–143.

Coulter (N); Monarch (I); Konda (S). Software engineering as seen through its research literature: A study in co-word analysis. Journal of the American Society for Information Science. Vol. 49(13); 1998; p1206–1223.

Looze (M D); Lemarie (J). Corpus relevance through co-word analysis: An application to plant proteins. Scientometrics. Vol. 39(3); 1997; p267–280.

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Courtial (J P); Cahlik (T); Callon (M). (A) Model for social interaction between cognition and action through a key-word simulation of knowledge growth. Scientometrics. Vol. 31(2); 1994; p173-192.

Law (J); Whittaker (J). Mapping acidification research: A test of the co-word method. Scientometrics. Vol. 23(3); 1992; p417–461.

Noyons (E C M); van Raan (A F J). Advanced mapping of science and technology. Scientometrics. Vol. 41(1–2); 1998; p61-67.

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Dutta (Bidyarthi). An analytical investigation into the characteristics of a subject; a case study. PhD thesis submitted to Jadavpur University, 2008.

Dutta (B); Majumder (K P); Sen (B K). Classification of keywords extracted from research articles published in science journals. Annals of Library and Information Studies. Vol. 55(4); 2008; p317-333.

Introducing Facetometrics:A New Keyword-Based Measure for Locating Research Areas of a Subject

Abstract Views :405 | PDF Views:16

Authors

Kalipada Jana ¹, Bidyarthi Dutta ²

Affiliations
1 B.C. Roy Memorial Library, Indian Institute of Management Calcutta, Joka, Kolkata - 700 104, West Bengal, IN
2 Department of Library and Information Science, Vidyasagar University, Midnapore - 721 102, West Bengal, IN

Source

Journal of Information and Knowledge (Formerly SRELS Journal of Information Management), Vol 53, No 3 (2016), Pagination: 177-185

Abstract

This paper has introduced a technique to find out research areas in a subject by the analysis of keywords assigned to articles. Keywords assigned to 1227 research papers published between 2004 and 2013 in a specific subject area "Hawking radiation" have been collected and analyzed. The research articles were retrieved from Web of Science using the search term "Hawking Radiation". The assigned keywords occurred with different frequencies. The keywords formed the clusters of words. The names given to the clusters were in accordance with the names of the most frequently occurring word in a keyword clusters. The clusters have been classed into three groups by size, i.e. small cluster, medium cluster and large cluster. As fairly large number of keywords formed large clusters, it has been assumed that the potential facets are represented by such clusters. Three basic parameters associated with the keyword clusters were identified, viz. no. of keywords in a cluster, frequency of occurrence and occupancy. Four indicators, viz., stability index, integrated visibility index, momentary visibility index and potency index have been defined on the basis of these three parameters and their fluctuations over the study period have been noticed. These indicators hold different values for different clusters and facets. The value ranges of these are categorized in five groups, viz. very high, high, medium, low and very low. Each indicator describes a particular aspect of a facet. These indicators may be used to measure various aspects of facets.

Keywords

Facetometrics, Keyword Cluster, Hawking Radiation, Research Areas, Web of Science, Astrophysics Research Trend, Research Trend, Facet Analysis.

Full Text

References

Berelson, B. 1952. Content Analysis in Communications Research. New York: Free Press.

Black, J.D. 1962. The Keyword: It’s use in abstracting, indexing and retrieving information. Aslib Proceedings. 14(10): 313–321.

Cambrosio, A., et al. 1993. Historical scientometrics? Mapping over 70 years of biological safety research with Co-word analysis. Scientometrics. 27(2): 119–143.

Coulter, N., Monarch, I. & Konda, S. 1998. Software engineering as seen through its research literature: A study in co-word analysis. Journal of the American Society for Information Science. 49(13): 1206–1223.

Courtial, J.P. 1994. (A) Co-word analysis of scientometrics. Scientometrics. 31(3): 251–260.

Courtial, J.P., Cahlik, T. & Callon, M. 1994. (A) Model for social interaction between cognition and action through a key-word simulation of knowledge growth. Scientometrics. 31(2): 173–192.

Dutta, B. 2008. An analytical investigation into the characteristics of a subject - A case study. PhD thesis. Jadavpur University.

Dutta, B., Majumder, K.P. & Sen, B.K. 2008. Classification of keywords extracted from research articles published in science journals. Annals of Library and Information Studies. 55(4): 317–333.

Dutta, B., Majumder, K.P., Sen, B.K. 2010. Content management by keywords: an analytical study. SRELS Journal of Information Management. 47(6): 599–620.

Hartley, J. & Kostoff, R.N. 2003. How useful are ‘keywords’ in scientific journals? Journal of Information Science. 29(5): 433–438.

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Study of Citation Distribution in Astrophysics:An Empirical Approach

Abstract Views :275 | PDF Views:9

Authors

Soumen Teli ¹, Bidyarthi Dutta ¹

Affiliations
1 Department of Library and Information Science, Vidyasagar University, Midnapore 721102, West Bengal, IN

Source

Journal of Information and Knowledge (Formerly SRELS Journal of Information Management), Vol 53, No 4 (2016), Pagination: 255-269

Abstract

This paper has empirically established a relationship between the number of citations received by the articles (both topten cited and others) and number of articles retrieved from Web of Science database in some areas of astrophysics. The study is based on the data retrieved from Web of Science (WoS) database for the period 1990 to 2014 in some areas of astrophysics. The search terms used in WoS were selected from Thesaurus of astronomy. In all, eighteen search terms were selected from some domains of astrophysics using systematic sampling method. Four fundamental variables associated with each search term are considered for this study. These variables are: Number of retrieved documents; total citations received by all retrieved documents (including self citation); total citations received by top 10 cited documents (including self citation) and age of the retrieved documents. On the basis of these four fundamental variables, five new variables are defined as follows, i.e. Average number of citations received by all retrieved articles; average number of citations received by top ten cited articles; Citation Gain; Citation Gain Index and Citation Gain Index per unit Age or Temporary Citation Gain Index. It has been observed that citation gain is directly proportional to number of retrievals. The analysis empirically established the skewed nature of citation distribution, i.e. accumulation of more citations around highly cited articles. The Temporary Citation Gain Index showed rectangular hyperbolic pattern with Publication age.

Keywords

Astrophysics, Scientometric Study, Highly Cited Articles, Relative Citation Share, Citation Analysis-Astronomy and Astrophysics, Citation Study, Stellar Physics, Web of Science, Solar Physics-Citation Study, Star, Nuclear Astrophysics-Citation Study.

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Altmetrics:Six Years of Changing Scholarly Appraisal

Abstract Views :370 | PDF Views:25

Authors

Dyuti Samanta ¹, Bidyarthi Dutta ²

Affiliations
1 Raghunathpur College, P.O. Raghunathpur, Purulia − 723 133, West Bengal, IN
2 Department of Library and Information Science, Vidyasagar University, Midnapore − 721 102, West Bengal, IN

Source

Journal of Information and Knowledge (Formerly SRELS Journal of Information Management), Vol 54, No 2 (2017), Pagination: 64-77

Abstract

The last decade of the 20^th century was marked as the opening gateway to internet and communication revolution, which added new dimensions to information and knowledge society. The scholarly community of today’s knowledge society communicates between each other in a non-traditional way besides the traditional way. The arrival of web 2.0 and scientists’ gradual use of said platforms as tools for the diffusion and receipt of scientific information and with part of the scientific community relatively receptive, that scientometrics 2.0 began to be discussed. Another milestone in the era of scientometrics 2.0 is the ‘Wikimetrics’. After the ‘Wikimetrics’ next footprint comes with the advent of ‘Article-level metrics’. Article-level metrics followed by Altmetrics, i.e. Alternative Metrics. The term altmetrics was coined by Jason Priem in 2010, as a generalization of article level metrics, and ischolar_mained in the twitter #altmetrics hashtag. Although altmetrics usually functions as metrics about articles, but it can also be applied to people, journals, books, data sets, presentations, videos, source code repositories, web pages, etc. Altmetrics does not cover just citation counts, but also other aspects of the impact of a work, such as how many data and knowledge bases refer to it, article views, download, or mentions in social media and news media. In this paper, the altmetric scores of top-cited altmetric papers are presented. Also, the contents of the same are analysed and presented. It is interesting to note that all top-cited papers appeared from diverse subject domains, i.e. big data in science, biological science, medical science, research methodology, social studies, citation studies and scientometrics, different issues involved in social networking et al. The subject domain altmetrics is a highly interdisciplinary field covering all major areas of universe of knowledge. This study reflects other notable feature, i.e. the discord between traditional metric (times cited) and modern metric (altmetric score).

Keywords

Altmetrics, Altmetric Score, Article-Level Metrics, AS/TC Ratio, Citation Count, Content Analysis, Informetrics, Open Source Metrics, Scholarly Appraisal, Scientometrics, Wikimetrics.

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Scientometric Study of Superconductivity Research in India from 1989 to 2014

Abstract Views :285 | PDF Views:15

Authors

Soumen Teli ¹, Bidyarthi Dutta ¹

Affiliations
1 Department of Library and Information Science, Vidyasagar University, Midnapore − 721 102, West Bengal, IN

Source

Journal of Information and Knowledge (Formerly SRELS Journal of Information Management), Vol 54, No 5 (2017), Pagination: 246-252

Abstract

This paper presents scientometric analysis of superconductivity research output in India from 1981 to 2014 and compares it with Global output as reported in Web of Science. The study shows that superconductivity research in India had a steep growth between 1981 and 1988, particularly an abrupt hike in 1987 is noticeable (both Indian and Global) followed by a more or less steady pattern thereafter up to 2014. The Indian growth pattern however differs from Global pattern. A sudden climb was noticed in 1987, which touched the crest in 1991. It started to descend thereafter steadily and troughed in 2003 followed by another steady rise again up to 2014. Indian trend thus shows a dip between 1992 and 2014 unlike Global pattern which was nearly steady over the span. The author productivity pattern only approximately corresponds to Lotka’s law. The number of core journals in the subject area is comparatively less as obtainable by employing Bradford’s law of scattering.

Keywords

Bradford’s Law, Growth of Literature, India, Logistic Model, Lotka’s Law, Scientometrics, Superconductivity Research.

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Revisiting Duyvis:A Chemical Engineer’s Zeal to Organize Knowledge

Abstract Views :244 | PDF Views:10

Authors

Bidyarthi Dutta ¹

Affiliations
1 Department of Library and Information Science, Vidyasagar University, Midnapore – 721102, West Bengal, IN

Source

Journal of Information and Knowledge (Formerly SRELS Journal of Information Management), Vol 55, No 1 (2018), Pagination: 26-33

Abstract

This paper presents an analytical study on Frits Donker Duyvis’ role in developing and revising Universal Decimal Classification (UDC). Also, his role as Secretary General of International Institute of Bibliography (IIB) has been analysed. The IIB was formed in 12th September 1895 at Brussels actually to sponsor UDC. It was renamed as International Institute for Documentation in 1931. During Duyvis’ tenure in IIB, several controversies occurred with Paul Otlet and Henri La Fontaine, the inventors of UDC. Otlet’s universal philosophy and notion of a great centralised bibliographic repertory confronted Duyvis’ pragmatic outlook, which is perhaps one of the most remarkable conflicts in the history of knowledge classification in IIB. The excerpts of some memorable letters of Otlet and Duyvis are presented here to present a layout of the historical conflicts took place centring the revision process of UDC. According to Ranganathan, Donker Duyvis was primarily a classificationist and not a grammarian of classificatory language. Several excerpts from different documents are presented to reckon that if Otlet was the first to understand that classification was at the heart of all documentation, it was Duyvis who made this finding in everyday practice.

Keywords

Dewey Decimal Classification, Duyvis, Faceted Classification, Frits Donker Duyvis, Henri La Fontaine, International Institute for Bibliography (IIB), International Institute for Documentation (IID), Melvil Dewey, Paul Otlet, Universal Decimal Classification, Universal Decimal Classification (UDC), Universal Repertory.

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ibid. p.330.

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ibid. p.334.

ibid. p.338.

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Population Density and Urbanization:Global Research Trend Analysis through the Lens of Scopus and Web of Science

Abstract Views :320 | PDF Views:13

Authors

Bidyarthi Dutta ¹

Affiliations
1 Department of Library and Information Science, Vidyasagar University, Midnapore – 721102, West Bengal, IN

Source

Journal of Information and Knowledge (Formerly SRELS Journal of Information Management), Vol 56, No 6 (2019), Pagination: 296–305

Abstract

In the last few decades, the steep rise in India’s urban population has caused rapid changes in population pattern. The main reason for this change is migration from rural to urban areas. Due to land crisis, cities like Mumbai and Kolkata are experiencing vertical growth, which causes change in population density. The ongoing process of urbanization impacts environmental, demographic, and socioeconomic heterogeneity issues. The municipal areas of cities should have basic amenities like electricity, roads, drinking water, communication, health and access to education. Here lies the question of urban planning. This paper has three distinct objectives. It aims to examine: (a) The genesis and growth of global research on urbanization and population density as reflected in two major citation databases, viz. Scopus and Web of Science; (b) The different facets of urbanization and population density research, through the two citation databases. (c) The essential bibliographic components like authorship pattern, source distribution pattern, keyword distribution pattern etc. of research output.

Keywords

Coastal Zone Disaster Management, Population Density, Scientometrics, Urbanization, Urban Planning.

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Growth Dynamics Study of Proteomics Research Output Since 2000 to 2018

Abstract Views :314 | PDF Views:8

Authors

Soumen Teli ¹, Bidyarthi Dutta ²

Affiliations
1 Shyampur Siddheswari Mahavidyalaya, Ajodhya, Howrah − 711312, West Bengal, India; and Research Scholar, Department of Library and Information Science, Vidyasagar University, Midnapore − 721102, West Bengal, IN
2 Department of Library and Information Science, Vidyasagar University, Midnapore − 721102, West Bengal, IN

Source

Journal of Information and Knowledge (Formerly SRELS Journal of Information Management), Vol 57, No 4 (2020), Pagination: 195-205

Abstract

Proteomics is the large scale of study of proteins with their function and structure. It is an approach for studying changes in metabolism in response to different stress conditions. It indicates the entire set of proteins that is, or can be, expressed by a genome, cell, tissue, or organism at a certain time. In India, the term ‘Proteomics’ was first used in an article on genomics in 1999. This paper presents the growth dynamics study of Indian and global proteomics research output with a comparative analysis. The growth pattern in India during 1999 to 2007 was exponential in nature followed by saturating power model, while the same for global research showed exponential pattern, followed by the saturating logarithmic curve. The speed of Indian growth was fast compared to global growth since after 2008 as evident from the magnitudes of AIS/AGS. The growth patterns followed Price’s law with an initial exponential trend followed by saturation thereafter. The magnitudes of the Activity Index over the years shows that Indian proteomics research is still far below the world average level, though the lowest AI in the year 2001 (0.002) escalated 19.5 times in 2015 (0.039). The Attractivity Index (AAI) values are found less than one indicating lower than world average impact values of Indian proteomics research, though it is continuously growing.

Keywords

De Solla Price’s Theory, Exponential Model, Global Proteomics Research, Growth Dynamics Study, Growth of Literature, Logistic Model, Proteomics Research.

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Revisiting Sayers: One Hundred Years of Canons of Classification

Abstract Views :253 | PDF Views:2

Authors

Bidyarthi Dutta ¹

Affiliations
1 Department of Library and Information Science, Vidyasagar University, Midnapore – 721102, West Bengal, IN

Source

Journal of Information and Knowledge (Formerly SRELS Journal of Information Management), Vol 58, No 3 (2021), Pagination: 165-178

Abstract

William Charles Berwick Sayers (1881-1960), an English librarian, made outstanding contributions to the development of a theory of library classification. He is referred to as the first grammarian of library classification. Even though he did not design any classification scheme, he interpreted and systematised the ideas of other theoreticians to formulate guidelines for designing library classification schemes. Sayers presented his theory of classification by stating 29 principles, called Canons, in 1915. He desired to make a comparative study of his canons with Richardson's Criteria, Bliss' Principles and Ranganathan's Canons. This paper presents a comparative study of Sayers' Canons (29 Canons), Bliss' Principles (32 Principles) and Ranganathan's Canons (43 Canons). Richardson stated only five Criteria in the form of general instructional statements these are not included in this study. Sayers' two Canons are similar to both Bliss' Principles and Ranganathan's Canons. Bliss' three Principles show highest similarity with Sayers' five Canons. Ranganathan's three Canons show highest similarity with Sayers' Canons, which are Canon of Currency (Verbal plane), Canon of Reticence (Verbal plane) and Canon of Hierarchy (Notational plane) respectively.

Keywords

Bliss' Principles, Canons of Classification, Library Classification Theory, Ranganathan's Canons, Sayers' Canons, Subject Classification.

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References

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Identifying the Core and Allied Disciplines Involved in the Growth of Virology: A Linguistic Analysis

Abstract Views :213 | PDF Views:3

Authors

Debabrata Maity ¹, Bidyarthi Dutta ²

Affiliations
1 Khejuri College, Baratala, Khejuri - 721431, West Bengal, IN
2 Department of Library and Information Science, Vidyasagar University, Midnapore - 721102, West Bengal, IN

Source

Journal of Information and Knowledge (Formerly SRELS Journal of Information Management), Vol 59, No 6 (2022), Pagination: 363-371

Abstract

The scientific field of virology mainly focuses on the study of biological viruses. Practically the field is very much associated with virus-caused diseases of living organisms. During the journey of progress, starting from the use of the phrase “contagium vivum fluidum” in the last decade of the 19th century to the modern-day well-recognized discipline of “virology”, it has grown rapidly with a large number of applied researches and interdisciplinary activities. This paper attempts to identify the disciplines with which it is interlinked. Objects’ captions of thirty top-cited research articles were analyzed linguistically to achieve the purpose. Finally, the study identifies 10 core disciplines, 12 allied disciplines, and 27 alien disciplines with which it is interlinked.

Keywords

Core Discipline Identification, Domain Analysis, Virology, Virology- Core Disciplines, Virology- Linguistic Analysis, Virology- Root Word Analysis.

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Citation Fall Index (CFI): An Indicator to Measure the Centripetal Nature of Accretion of Citation

Abstract Views :78 | PDF Views:5

Authors

Bidyarthi Dutta ¹

Affiliations
1 Department of Library and Information Science, Vidyasagar University, Midnapore – 721102, West Bengal, IN

Source

Journal of Information and Knowledge (Formerly SRELS Journal of Information Management), Vol 60, No 6 (2023), Pagination: 355-359

Abstract

That citation attracts citation and fairly-cited items quickly become highly-cited, whereas poorly-cited or uncited items are hardly cited even after a long span is a known phenomenon referred to as the ‘Cumulative Advantage’ process (“Success breeds success”). The citation distribution always shows a highly skewed pattern to a very small number of core groups. This paper has proposed a fundamental formula to measure the change in relative fall in citation count with a corresponding change in the ranking of different kinds of cited items (author, journal, article, etc.). Two new indicators are mathematically developed here, the names given to which are, Relative Citation Fall (RCF) and Citation Fall Index (CFI). These indicators will be tested for different kinds of cited items in different subject domains to quantitatively measure citation skewness in future studies.

Keywords

Citation Analysis, Citation-based Indicator, Citation Fall Index, Cumulative Advantage, Preferential Attachment, Protein Chemistry, Riemann Zeta Function.

Full Text

References

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