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Mayr, Philipp
- How Much Research Output from India Gets Social Media Attention?
Abstract Views :230 |
PDF Views:84
Authors
Affiliations
1 Department of Computer Science, South Asian University, New Delhi 110 021,, IN
2 Department of Computer Science, Banaras Hindu University, Varanasi 221 005, IN
3 GESIS Leibniz Institute for Social Sciences, Cologne, DE
1 Department of Computer Science, South Asian University, New Delhi 110 021,, IN
2 Department of Computer Science, Banaras Hindu University, Varanasi 221 005, IN
3 GESIS Leibniz Institute for Social Sciences, Cologne, DE
Source
Current Science, Vol 117, No 5 (2019), Pagination: 753-760Abstract
Scholarly articles are now increasingly being mentioned and discussed in social media platforms, sometimes even as pre- or post-print version uploads. Measures of social media mentions and coverage are now emerging as an alternative indicator of impact of scholarly articles. This article aims to explore how much scholarly research output from India is covered in different social media platforms, and how similar or different it is from the world average. It also analyses the disciplinewise variations in coverage and altmetric attention for Indian research output, including a comparison with the world average. Results obtained show interesting patterns. Only 28.5% of the total research output from India is covered in social media platforms, which is about 18% less than the world average. ResearchGate and Mendeley are the most popular social media platforms in India for scholarly article coverage. In terms of discipline-wise variation, medical sciences and biological sciences have relatively higher coverage across different platforms compared to disciplines like information science and engineering.Keywords
Disciplinary Variation, Research Output, Scholarly Articles, Social Media.References
- http://www.researchgate.net (accessed on 14 May 2019).
- http://www.twitter.com (accessed on 14 May 2019).
- http://www.facebook.com (accessed on 14 May 2019).
- http://www.academia.edu (accessed on 14 May 2019).
- http://www.mendeley.com (accessed on 14 May 2019).
- Priem, J., Altmetrics. Beyond Bibliometrics: Harnessing Multidimensional Indicators of Scholarly Impact, MIT Press, 2014, pp. 263–288.
- Priem, J. and Hemminger, B. H., Scientometrics 2.0: New metrics of scholarly impact on the social web. First Monday, 2010, 15(7); http://firstmonday.org/ojs/index.php/fm/article/view/2874/257 (accessed on June 2018).
- Haustein, S., Peters, I., Sugimoto, C. R., Thelwall, M. and Larivière, V., Tweeting biomedicine: an analysis of tweets and citations in the biomedical literature. J. Assoc. Inf. Sci. Technol., 2014, 65(4), 656–669.
- Thelwall, M. and Kousha, K., ResearchGate: disseminating, communicating, and measuring scholarship? J. Assoc. Inf. Sci. Technol., 2015, 66(5), 876–889.
- Sugimoto, C. R., Work, S., Larivière, V. and Haustein, S., Scholarly use of social media and altmetrics: a review of the literature. J. Assoc. Inf. Sci. Technol., 2017, 68(9), 2037–2062.
- Banshal, S. K., Basu, A., Singh, V. K. and Muhuri, P. K., Scientific vs public attention: a comparison of top cited papers in WoS and top papers by altmetric score. In Proceedings of AROSIM 2018 – Communications in Computer and Information Science, Springer, Singapore, 2018, vol. 856, pp. 81–95.
- Shema, H., Bar‐Ilan, J. and Thelwall, M., Do blog citations correlate with a higher number of future citations? Research blogs as a potential source for alternative metrics. J. Assoc. Inf. Sci. Technol., 2014, 65(5), 1018–1027.
- Thelwall, M., Interpreting correlations between citation counts and other indicators. Scientometrics, 2016, 108(1), 337–347.
- Peters, I., Kraker, P., Lex, E., Gumpenberger, C. and Gorraiz, J., Research data explored: an extended analysis of citations. Scientometrics, 2016, 107(2), 723–744.
- Costas, R., Zahedi, Z. and Wouters, P., Do ‘altmetrics’ correlate with citations? Extensive comparison of altmetric indicators with citations from a multidisciplinary perspective. J. Assoc. Inf. Sci. Technol., 2015, 66(10), 2003–2019.
- Thelwall, M., Early Mendeley readers correlate with later citation counts. Scientometrics, 2018, 115(3), 1231–1240.
- Thelwall, M. and Kousha, K., ResearchGate versus Google Scholar: which finds more early citations? Scientometrics, 2017, 112(2), 1125–1131.
- Thelwall, M. and Nevill, T., Could scientists use Altmetric.com scores to predict longer term citation counts? J. Informetr., 2018, 12(1), 237–248.
- Sotudeh, H., Mazarei, Z. and Mirzabeigi, M., CiteULike bookmarks are correlated to citations at journal and author levels in library and information science. Scientometrics, 2015, 105(3), 2237–2248.
- Chen, K., Tang, M., Wang, C. and Hsiang, J., Exploring alternative metrics of scholarly performance in the social sciences and humanities in Taiwan. Scientometrics, 2015, 102(1), 97–112.
- Cho, J., A comparative study of the impact of Korean research articles in four academic fields using altmetrics. Perform. Meas. Metrics, 2017, 18(1), 38–51.
- Holmberg, K. and Woo, H., An altmetric investigation of the online visibility of South Korea-based scientific journals. Scientometrics, 2018, 117(1), 603–613.
- Bangani, S., The impact of electronic theses and dissertations: a study of the institutional repository of a university in South Africa. Scientometrics, 2018, 115(1), 131–151.
- Shu, F., Lou, W. and Haustein, S., Can twitter increase the visibility of Chinese publications? Scientometrics, 2018, 116(1), 505–519.
- Liu, Y., Lin, D., Xu, X., Shan, S. and Sheng, Q. Z., Multi-views on Nature Index of Chinese academic institutions. Scientometrics, 2018, 114(3), 823–837.
- Wang, X., Fang, Z., Li, Q. and Guo, X., The poor altmetric performance of publications authored by researchers in Mainland China. Front. Res. Metrics Anal., 2016, 1, 8.
- Teixeira da Silva, J. A., Does China need to rethink its metricsand citation-based research rewards policies? Scientometrics, 2017, 112(3), 1853–1857.
- Lepori, B., Thelwall, M. and Hafeez, B., Which US and European higher education institutions are visible in ResearchGate and what affects their RG score? J. Informetr., 2018, 12(3), 806–818.
- Banshal, S. K., Singh, V. K., Kaderye, G., Muhuri, P. K. and Sánchez, B. P., An altmetric analysis of scholarly articles from India. J. Intell. Fuzzy Syst., 2018, 34(5), 3111–3118.
- https://www.webofknowledge.com (accessed on 10 April 2019).
- https://www.altmetric.com/explorer (accessed on 10 April 2019).
- Rupika, U. A. and Singh, V. K., Measuring the university– industry–government collaboration in Indian research output. Curr. Sci,, 2016, 110(10), 1904.
- https://www.altmetric.com/about-our-data/the-donut-and-score/
- Comparing Research Performance of Private Universities in India with IITs, Central Universities and NITs
Abstract Views :233 |
PDF Views:72
Authors
Affiliations
1 Department of Computer Science, South Asian University, New Delhi 110 021, IN
2 Department of Computer Science, Banaras Hindu University, Varanasi 221 005, IN
3 GESIS Leibniz Institute of Social Sciences, Cologne, DE
1 Department of Computer Science, South Asian University, New Delhi 110 021, IN
2 Department of Computer Science, Banaras Hindu University, Varanasi 221 005, IN
3 GESIS Leibniz Institute of Social Sciences, Cologne, DE
Source
Current Science, Vol 116, No 8 (2019), Pagination: 1304-1313Abstract
During the last two decades the number of private universities in India has increased significantly. According to AISHE report of 2016, out of 799 universities in India, 277 are private universities, i.e. one out of every three universities in India is a private university. A significant proportion of colleges (about 78%) are also privately managed, as they do not contribute much to research activities and hence are not included in this analysis. Private universities are now becoming a major component of the Indian higher education system. Some of the private universities are exclusively positioning and projecting themselves as universities for high quality research and innovation. A few of them are now well placed in the national-level NIRF ranking framework. It is in this context that this paper presents a comparative account of research performance of the 25 most productive private universities with the set of Indian Institutes of Technology (IITs), Central Universities (CUs) and National Institutes of Technology (NITs), all of which have a well-established environment and culture of research. A set-based comparison methodology is followed. The results show good performance of private universities in research, especially in terms of output and rate of growth of output. However, on quality and productivity per capita and per rupee spent, they have a long way to go to match the performance levels of well-established centrally funded higher education institutions of India. This study presents detailed scientometric assessment of some most productive private universities in India.Keywords
Private Universities, Research Performance, Research in India, Research Policy.References
- All India Survey on Higher Education (2015–16), Department of Higher Education, Ministry of Human Resource Development, Govt of India; http://mhrd.gov.in/sites/upload_files/mhrd/files/statistics-new/AISHE2015-16.pdf
- Banshal, S. K., Singh, V. K., Basu, A. and Muhuri, P. K., Research performance of Indian Institutes of Technology. Curr. Sci., 2017, 112(5), 923–932.
- Solanki, T., Uddin, A. and Singh, V. K., Research competitiveness of Indian institutes of science education and research. Curr. Sci., 2016, 110(3), 307.
- Marisha, Banshal, S. K. and Singh, V. K., Research performance of central universities in India. Curr. Sci., 2017, 112(11), 2198– 2208.
- Basu, A., Banshal, S. K., Singhal, K. and Singh, V. K., Designing a composite index for research performance evaluation at the national or regional level: ranking Central Universities in India. Scientometrics, 2016, 107(3), 1171–1193.
- Bala, A. and Kumari, S., Research performance of National Institutes of Technology (NITs) of India during 2001–2010: a bibliometric analysis. SRELS J. Inf. Manage., 2013, 50(5), 555–572.
- Banshal, S. K., Solanki, T. and Singh, V. K., Research performance of National Institutes of Technology. Curr. Sci., 2018, 115(11), 2025–2036.
- Prathap, G. and Gupta, B. M., Ranking of Indian engineering and technological institutes for their research performance during 1999–2008. Curr. Sci., 2009, 97(3), 304–306.
- Prathap, G., Benchmarking research performance of the IITs using ‘Web of Science’ and ‘Scopus’ bibliometric databases. Curr. Sci., 2013, 105(8), 1134–1138.
- Prathap, G., The performance of research-intensive higher educational institutions in India. Curr. Sci., 2014, 107(3), 389–396.
- Nishy, P., Panwar, Y., Prasad, S., Mandal, G. K. and Prathap, G., An impact-Citations Exergy (iCX) trajectory analysis of leading research institutions in India. Scientometrics, 2012, 91(1), 245– 251.
- Prathap, G. and Sriram, P., Mega private universities in India: prospects and promise for world-class performance. Curr. Sci., 2017, 113(11), 2165–2167.
- www.nirfindia.org
- Rupika, Uddin, A. and Singh, V. K., Measuring the university– industry–government collaboration in Indian research output. Curr. Sci., 2016, 110(10), 1904–1909.
- Prathap, G., Making scientometric and economic sense out of NIRF 2017 data. Curr. Sci., 2017, 113(7), 1420–1423.