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Das, Arijit
- A Comparative Study of Scopus and Web of Science: Climate Related Literature Retrieval
Abstract Views :647 |
PDF Views:18
Authors
Arijit Das
1,
Sukanya Mondal
2
Affiliations
1 Department of Library and Information Science, Jadavpur University, Kolkata - 700032, West Bengal, IN
2 Dr. B. R. Ambedkar Institute of Education, Baruipur, Kolkata - 700144, West Bengal, IN
1 Department of Library and Information Science, Jadavpur University, Kolkata - 700032, West Bengal, IN
2 Dr. B. R. Ambedkar Institute of Education, Baruipur, Kolkata - 700144, West Bengal, IN
Source
Journal of Information and Knowledge (Formerly SRELS Journal of Information Management), Vol 55, No 4 (2018), Pagination: 188-193Abstract
There are various databases to retrieve information; sometimes users find it difficult to select the material to be read. To make the right decision for selecting the appropriate database there are some important factors such as coverage, functionality etc. This paper compares two popular bibliographic databases - Web of Science and Scopus for their coverage and retrieval of Climate related literature. Four keywords were used to carry out the searches and the paper examines the weakness and strength of these two databases.Keywords
Climate Research, Coverage, Databases, Information Retrieval, Scopus, Web of Science.References
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- Bar-Ilan, J, Levene, M. & Lin, A. (2007). Some measures for comparing citation databases. Journal of Informetrics, 1, 26-34. https://doi.org/10.1016/j.joi.2006.08.001.
- Bar-Ilan, J. (2008). Which h-index? A comparison of WOS, Scopus and Google Scholar. Scientometrics, 74, 257–71. https://doi.org/10.1007/s11192-008-0216-y.
- Bartol, T. et al. (2014). Assessment of research fields in Scopus and Web of Science from the viewpoint of national research evaluation in Slovenia. Scientometrics. 98, 1491-504. https:// doi.org/10.1007/s11192-013-1148-8.
- Chadegani, A. et al. (2013). A comparison between two main academic literature collections: Web of Science and Scopus Databases. Asian Social Science, 9, 1911-2025. https://doi.org/10.5539/ass.v9n5p18.
- Elsevier (2018). Scopus. Accessed on 15 Feb 2018. Available at: https://www.elsevier.com/solutions/scopus.
- Garfield, E. (1963). Science citation index. Science Citation Index 1961, 1(16). Available at: http://garfield.library.upenn.edu/ papers/80.pdf.
- Glanzel, W. & Moed, H. F. (2012). Opinion paper: Thoughts and facts on bibliometric indicators. Scientometrics, DOI: 10.1007/s11192-012-0898-z. https://doi.org/10.1007/ s11192-012-0898-z.
- Lasda Bergman, E. M. (2012). Finding citations to social work literature: The relative benefits of using Web of Science, Scopus, or Google Scholar. The Journal of Academic Librarianship, 38, 370-79. https://doi.org/10.1016/j.acalib.2012.08.002.
- Leydesdorff, L., Moya-Anegón (de), F. & Guerrero-Bote, V. P. (2010). Journal maps on the basis of Scopus data: A comparison with the Journal Citation Reports of the ISI. Journal of the American Society for Information Science and Technology, 61, 352–69.
- Lopez-Illescas, C., MoyaAnegon (de), F. & Moed, H. F. (2009). Comparing bibliometric country-by-country. Rankings derived from the Web of Science and Scopus: The effect of poorly cited journals in Oncology. Journal of Information Science, 35, 244–56. https://doi.org/10.1177/0165551508098603.
- Lopez-Illescas, C., Moya-Anegon, F. & Moed, H. F. (2008). Coverage and citation impact of oncological journals in the Web of Science and Scopus. Journal of Informetrics, 2, 304-16. http://dx.doi.org/10.1016/j.joi.2008.08.001.
- Meho, L. I. & Sugimoto, C. R. (2009). Assessing the scholarly impact of information studies: A tale of two citation databases— Scopus and Web of Science. Journal of the American Society for Information Science and Technology, 60, 2499– 508. https://doi.org/10.1002/asi.21165.
- The Free Dictionary by FARLEX (2018a). Cyclone definition. Accessed on 03 Mar 2018. Available at: https://www.thefreedictionary.com/cyclone.
- The Free Dictionary by FARLEX (2018b). El Nino definition. Accessed on 03 Mar 2018. Available at: https://www.thefreedictionary.com/el+nino.
- The Free Dictionary by FARLEX (2018c). Jet stream definition. Accessed on 05 Mar 2018. Available at: https://www.thefreedictionary.com/jet+stream.
- The Free Dictionary by FARLEX (2018d). Monsoon definition. Accessed on 05 Mar 2018. Available at: https://www.thefreedictionary.com/monsoon.
- Thomson Scientific (2018). Web of Science. Accessed on 26 Feb 2018. Available at: http://scientific.thomson.com/products/ WoS/.
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- Zibareva, I., & Soloshenko, N. (2011). Russian scientific publications 2005–2009 in the science citation index, Scopus, and chemical abstracts databases. Scientific and Technical Information Processing, 38, 212–23. https://doi.org/10.3103/ S0147688211030178.
- Correlation between Daily Page Views and View Duration: An Exploration of National Library Websites
Abstract Views :307 |
PDF Views:13
Authors
Sukanya Mandal
1,
Arijit Das
2
Affiliations
1 Dr. B. R. Ambedkar Institute of Education, Baruipur - 743610, Kolkata, West Bengal, IN
2 Department of Library and Information Science, Jadavpur University, Jadavpur - 700032, Kolkata, West Bengal, IN
1 Dr. B. R. Ambedkar Institute of Education, Baruipur - 743610, Kolkata, West Bengal, IN
2 Department of Library and Information Science, Jadavpur University, Jadavpur - 700032, Kolkata, West Bengal, IN
Source
Journal of Information and Knowledge (Formerly SRELS Journal of Information Management), Vol 55, No 5 (2018), Pagination: 247-253Abstract
Generally page view and view duration help to estimate the popularity of a site they are also determining factors for estimating the extent of use of that site. This paper seeks to establish a “correlation” between the two variables, i.e. daily page views per visitor and daily time on site (view duration) of twenty five national library websites around the world to see the degree of association. A scatter diagram indicating the nature of association between these two variables is drawn. The Pearson’s Correlation Coefficient (r) is 0.744, which indicates a strong positive relation between these two variables. The pattern of scatter diagram also represents a positive correlation, which means the association between the variables is direct, indicating thereby that if the value of average page view is high then the value of daily time on site also will be high, and low values are associated with low values.Keywords
Correlation Coefficient, National Libraries, Page View, Scatter Diagram, Website Analysis, View Duration.References
- Association, W. A. (2006). Web Analytics “Big Three” Definitions. Washington DC; 20037.
- Avangate Home Page (1999) – How important is Alexa ranking? Available at http://www.avangate.com/articles/ alexa-ranking99.htm
- Bjorneborn, L. and Ingwersen, P. (2001). Perspectives of webometrics. Scientometrics, 50, 65–82. https://doi.org/10.1023/A:1005642218907
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- Gelder, P. V.; Beiger, G. and Berger, M. (2011). Statistical analysis of pageviews on web sites. Acceced on 2018. Available at: https://pdfs.semanticscholar.org/9b4b/a3ceef973ffa48e5d71a93eded2c12f7add8.pdf
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- support.google (2018). The difference between Google Ads Clicks, and Sessions, Users, Entrances, Pageviews, and Unique Pageviews in Analytics. Accessed on 24.8.2018. Available at: https://support.google.com/analytics/answer/1257084?hl=en a
- Verma, M. K. and Brahma, K. (2017). A webometric analysis of National Libraries’ websites in South Asia. Annals of Library and Information Studies, 64(2), 116–24.
- Webopedia (2018). Average time on site – Web analytics. Accessed on 24.8.2018. Available at: https://www.webopedia.com/TERM/A/average_time_on_site.html.
- Wikipedia (2018). Alexa Internet. Accessed on 24.8.2018. Available at: https://en.wikipedia.org/wiki/Alexa_Internet.
- Research Landscape/Performance of India during 2010-2018:An Exploration through Scopus
Abstract Views :327 |
PDF Views:14
Authors
Affiliations
1 Department of Library and Information Science, Jadavpur University, Kolkata - 700032, West Bengal, IN
1 Department of Library and Information Science, Jadavpur University, Kolkata - 700032, West Bengal, IN
Source
Journal of Information and Knowledge (Formerly SRELS Journal of Information Management), Vol 56, No 3 (2019), Pagination: 122-128Abstract
Presently total number of universities in the country is 907, (UGC (n.d.)) and these universities vary in terms of number of publications they produce. This study aims to identify the leading research institutions in India. To measure the performance of leading institutions multiple indicators have been applied, such as number of publications, total and average citations received, etc. IISc. Bangalore (15,948) produced most number of papers and BARC (32.21) received highest average citations per paper. BARC, CSIR India and University of Delhi had overall good performance in all the categories taken for the measurement.Keywords
Gross Enrollment Ratio (GER), H-Index, Higher Education in India, Research Landscape of India, Research Performance, Scopus.References
- AISHE 2017-18 (n.d.). All India survey on higher education 2017-18. Accessed on 10 February 2019. Available at https:// www.mhrd.gov.in/sites/upload_files/mhrd/files/statistics-new/AISHE2017-18.pdf.
- Five Year Plans (n.d.). Twelfth five year plan, 2012 - 2017. Planning Commission, Government of India. Accessed on 12 February 2019. Available at http://planningcommission.nic.in/plans/planrel/fiveyr/12th/pdf/12fyp_vol3.pdf.
- Gross Enrolment Ratio, UNESCO UIS (n.d.). Accessed on 05 February 2019. Available at http://uis.unesco.org/en/glossary-term/gross-enrolment-ratio.
- Gupta, B.M. (2010). Ranking and performance of Indian Universities based on publication and citation data. Indian Journal of Science and Technology, 3(7):837-43.
- H-index, Elsevier Scopus Blog (n.d.). Accessed on 17 January 2019. Available at https://blog.scopus.com/topics/h-index.
- Higher Education (n.d.). Annual report 2013-14. Department of Higher Education, MHRD, Government of India. Available at https://mhrd.gov.in/sites/upload_files/mhrd/files/document-reports/AR2013-14.pdf.
- Kumbar, M.; Gupta, B.M. and Dhawan, S.M. (2008). Growth and impact of research output of University of Mysore, 1996-2006: A case study. Annals of Library and Information Studies, 58:185-95.
- Prathap, G. and Gupta, B.M. (2011). Ranking of Indian medical colleges for their research performance during 1999-2008. Annals of Library and Information Studies, 58:203-10.
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- Mapping the use of Online Health Information Sources using Webometrics
Abstract Views :276 |
PDF Views:8
Authors
Affiliations
1 Department of Library and Information Science, Jadavpur University, Kolkata - 700032, West Bengal, IN
1 Department of Library and Information Science, Jadavpur University, Kolkata - 700032, West Bengal, IN
Source
Journal of Information and Knowledge (Formerly SRELS Journal of Information Management), Vol 56, No 5 (2019), Pagination: 269-273Abstract
A number of health information sources exist on the web and the number is growing. Some studies have tried to comment on the outreach of the websites by calculating the impact factor of the websites. Some studies have also assessed the quality of the information being disseminated. In this study, popular health related information sources have been assessed by using different kinds of data.Keywords
Medical Information, Online Health Information, Pearson’s Correlation Coefficient, Webometric Analysis.References
- Alastair, S. (1999). A tale of two web spaces: Comparing sites using web impact factors. Journal of Documentation, 55(5), 577-92.
- Almind, T.C. & Ingwersen, P. (1997). Informetric analyses on the World Wide Web: Methodological approaches to ‘webometrics’. Journal of Documentation. 53(4), 404-26. Available at: https://www.ischool.utexas.edu/~i385df04/readings/Almind_Ingwersen-1997-Webometrics.pdf. https://doi.org/10.1108/EUM0000000007205.
- American Cancer Society. (n.d.). Accessed 06 November 2018. Available at: https://www.cancer.org/.
- Anderson, P.F. & Allee, N.J. (2005). The Medical Library Association Encyclopedic Guide to Searching and Finding Health Information on the Web. New York: Neal-Schuman Publishers.
- Bjornborn, L. & Ingwersen, P. (2004). Towards a basic framework for webometrics. Journal of the Amer. Soc. for Inf. Sci. & Tech., 55(14), 1216-27. https://doi.org/10.1002/asi.20077.
- Boorkman, J.A., Huber, J.T. & Roper, F.W. (2004). Introduction to Reference Sources in the Health Sciences. New York: Neal-Schuman Publishers.
- Breastcancer.org (n.d.). Accessed 07 November 2018. Available at: https://www.breastcancer.org/.
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- Groselj, D. (2013). A webometric analysis of online health information: Sponsorship, platform type and link structures. Online Information Review, 38(2), 209-31. https://doi.org/10.1108/OIR-01-2013-0011.
- HIV InSite Gateway (n.d.). Accessed 08 November 2018. Available at: http://hivinsite.ucsf.edu/.
- Ingwersen, P. (1998). The calculation of web impact factors Google Search. Journal of Documentation, 54(2), 236-43. https://doi.org/10.1108/EUM0000000007167.
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- Moghaddam, A.M. & Danesh, F. (2015). Webometric as a method for identifying the most accredited free electronic Journal: The case of medical sciences. The Electronic Library, 33(1), 75-87. https://doi.org/10.1108/EL-10-2012-0141.
- Patel, H.J. & Parmar, S.D. (2015). Webometrics study of All India Institutes of Medical Sciences. Journal of Advancements in Library Science, 2(2), 12-17.
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- Use of Social Media for Effective Library and Information Services among University Students: A Study
Abstract Views :240 |
PDF Views:7
Authors
Arijit Das
1,
Arindam Sarkar
1
Affiliations
1 Department of Library and Information Science, Jadavpur University, Kolkata – 700054, West Bengal, IN
1 Department of Library and Information Science, Jadavpur University, Kolkata – 700054, West Bengal, IN
Source
Journal of Information and Knowledge (Formerly SRELS Journal of Information Management), Vol 58, No 2 (2021), Pagination: 101-107Abstract
Information communication technology (ICT) plays a key role in the transmission of information between each other. Social networking sites are good examples of a network of communication and it is a good social structural way that allows the user to interact and work with other users. WhatsApp and Facebook are two very popular social media that very much help users to interact each other via text, image, audio, video messaging. This paper was based on a survey that measured the usability of Facebook and WhatsApp for service delivery to the library. An online questionnaire was used to collect information from the respondents. The findings indicated that respondents showed a positive attitude towards the services of library through Facebook and WhatsApp.Keywords
Facebook, Information Communication Technology, Library Services, Social Networking Sites, WhatsAppReferences
- Ansari, M. S. and Tripathi, A. (2017). Use of WhatsApp for effective delivery of library and information services. DESIDOC Journal of Library and Information, 37(5), 360-365. https://doi.org/10.14429/djlit.37.5.11090.
- Dadzie, P. S. (2007). Information literacy: Assessing the readiness of Ghanaian Universities. Information Development, 23(4), 265-277. https://doi.org/10.1177/0266666907084762.
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- Smart phones (n.d.). Retrieved from: https://en.wikipedia.org/wiki/Smartphone.
- WhatsApp (2019). Retrieved from: https://www.whatsapp.com/about/.