Acknowledgement
Supported by : 인천대학교
References
- Lee, Jae Yun (2006). A novel clustering method for examining and analyzing the intellectual structure of a scholarly field. Journal of the Korean Society for Information Management, 23(4), 215-231. https://doi.org/10.3743/kosim.2006.23.4.215
- Lee, Jae Yun (2013). A comparison study on the weighted networkd centrality measures of tnet and WNET. Journal of the Korean Society for Information Management, 30(4), 241-264. https://doi.org/10.3743/kosim.2013.30.4.241
- Jeong, Dae-hyun, Kwon, Young-il, Hong, Soon-ki, & Cho, Keuntae (2014). An analysis of the effect of density of the joint research network between countries on technology diffusion: Focusing on the case of secondary battery and the electric vehicle field. Journal of the Korea Contents Association, 14(9), 582-588. https://doi.org/10.5392/jkca.2014.14.09.582
- Cho, Jane (2015). A study about scholarly impact measurement through altmetrics. Journal of Korean Library and Information Science Society, 46(1), 65-81. https://doi.org/10.16981/kliss.46.1.201503.65
- Cho, Jane (2017). Study on readers about library and information science fields' articles by analyzing mendeley. Journal of Korean Library and Information Science Society, 48(1), 77-97. https://doi.org/10.16981/kliss.48.1.201703.77
- Bornmann, L. (2015). Alternative metrics in scientometrics: A meta-analysis of research into three altmetrics. Scientometrics, 103(3), 1123-1144. https://doi.org/10.1007/s11192-015-1565-y
- Cho, Jane. (2017). A comparative study of the impact of Korean research articles in four academic fields using altmetrics. Performance Measurement and Metrics, 18(1), 38-51. https://doi.org/10.1108/PMM-02-2016-0005
- Hammarfelt, B. (2014). Using altmetrics for assessing research impact in the humanities. Scientometrics, 101(2), 1419-1430. https://doi.org/10.1007/s11192-014-1261-3
- Haunschild, R., & Bornmann, L. (2015). F1000Prime: An analysis of discipline-specific reader data from Mendeley [version 2; referees: 1 approved with reservations, 1 not approved]. F1000Research. http://dx.doi.org/10.12688/f1000research.6062.2
- Haunschild, R., Bornmann, L., & Leydesdorff, L. (2015). Networks of reader and country status: An analysis of Mendeley reader statistics. PeerJ Computer Science, 1, 32. https://dx.doi.org/10.7717/peerj-cs.32
- Haustein, S., Costas, R., & Lariviere, V. (2015). Characterizing social media metrics of scholarly papers: The effect of document properties and collaboration patterns. PLOS ONE, 10(3). https://dx.doi.org/10.1371/journal.pone.0120495
- Kraker P., Schlogl C., Jack K., & Lindstaedt S. (2015). Visualization of co-readership patterns from an online reference management system. Journal of Informetrics, 9(1), 169-182. http://dx.doi.org/10.1016/j.joi.2014.12.003
- Leydesdorff, L., Heimeriks, G., & Rotolo, D. (2016) Journal portfolio analysis for countries, cities, and organizations: Maps and comparisons. Journal of the American Society for Information Science, 67(3), 741-748. http://dx.doi.org/10.1002/asi.23551
- Li, X., & Thelwall, M. (2012). F1000, Mendeley and traditional bibliometric indicators. Proceedings of the 17th International Conference on Science and Technology Indicators, Montreal, 541-551.
- Mohammadi, E., & Thelwall, M. (2014). Mendeley readership altmetrics for the social sciences and humanities: Research evaluation and knowledge flows. Journal of the Association for Information Science and Technology, 65(8), 1627-1638. http://dx.doi.org/10.1002/asi.23071
- Mohammadi, E., & Thelwall, M. (2014). Mendeley readership altmetrics for the social sciences and humanities: Research evaluation and knowledge flows. Journal of the Association for Information Science and Technology, 65(8), 1627-1638. http://dx.doi.org/10.1002/asi.23071
- Mohammadi, E., Thelwall, M., Haustein, S., & Lariviere, V. (2015). Who reads research articles? An altmetrics analysis of mendeley user categories. Journal of the American Society for Information Science, 66(9), 1832-1846. http://dx.doi.org/10.1002/asi.23286
- Sud, P., & Thelwall, M. (2015). Not all international collaboration is beneficial: The Mendeley readership and citation impact of biochemical research collaboration. Journal of the Association for Information Science and Technology, 67(8), 1849-1857. https://dx.doi.org/10.1002/asi.23515
- Zahedi, Z., Costas, R., & Wouters, P. (2014). How well developed are altmetrics? A cross-disciplinary analysis of the presence of 'alternative metrics' in scientific publications. Scientometrics, 101(2), 1491-1513. http://dx.doi.org/10.1007/s11192-014-1264-0