Browse > Article
http://dx.doi.org/10.16981/kliss.53.4.202212.143

A Study on the Altmetrics of the Papers of Library and Information Science Researchers Published in International Journals  

Jane Cho (인천대학교 문헌정보학과)
Publication Information
Journal of Korean Library and Information Science Society / v.53, no.4, 2022 , pp. 143-162 More about this Journal
Abstract
Altmetrics is an alternative impact evaluation index that evaluates the social interest in the research performance of individuals or institutions in universities, research institutions, and research fund support institutions. This study empirically analyzed what kind of attention a papers of domestic library and information science researchers published in an international academic journal was receiving in the international community using Altmetric explorer. As a result of the analysis, 230 papers were tracked. The average Altmetric Attention Score (AAS) was 6.63, but there were 2 papers that received overwhelming attention (over 170 points) as they were mentioned in news report and Twitter. Second, there was a tendency for high AAS to appear in cases where a domestic researcher participated as a co-author and the main author belonged to an overseas institution, and in the case where the research funds were supported by foreign government agencies. In addition to the field of the library information science or information system, the papers classified as the field of public health service and education showed high AAS, and it was confirmed that these papers were published in the journals of various fields such as life science. Finally, it was confirmed that there was a weak correlation of r =0.25 between the AAS and the number of citations of the analyzed paper, but a strong correlation of r =0.68 between the number of Mendeley readers and the number of citations.
Keywords
Altmetrics; Library and Information Science; Citation; Article; Research Evaluation;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Cho, Jane (2017). Study on readers about library and information science fields' articles by analyzing Mendeley. Journal of Korean Library and Information Science Society (JKLISS), 48(1), 77-97.   DOI
2 Cho, Jane (2022). A study on the effect of altmetrics about academic papers on citations and moderating effect of Open Access. Journal of the Korean Society for Library and Information Science, 56(2), 35-55.
3 Altmetric (2021). Required metadata for content tracking. Available: https://help.altmetric.com/support/solutions/articles/6000240582-required-metadata-for-content-tracking
4 Banshal, S. K., Singh, V. K., & Muhuri, P. K. (2021). Can altmetric mentions predict later citations? A test of validity on data from ResearchGate and three social media platforms. Online Information Review, 45(3), 517-536.   DOI
5 Bornmann, L. (2015). Alternative metrics in scientometrics: a meta-analysis of research into three altmetrics. Scientometrics, 103, 1123-1144.   DOI
6 Cho, J. (2021). Altmetrics analysis of highly cited academic papers in the feld of library and information science. Scientometrics, 126, 7623-7635.   DOI
7 Erfanmanesh, M. (2017). The presence of Iranian information science and library science articles in social media: an altmetric study. Iranian Journal of Information Processing & Management, 32, 349-373.
8 Fang, Z. & Costas, R. (2020). Studying the accumulation velocity of altmetric data tracked by Altmetric.com. SCIENTOMETRICS, 123(2), 1077-1101.   DOI
9 Gorraiz, J., Gumpenberger, C. & Schlogl, C. (2014). Usage versus citation behaviours in four subject areas. Scientometrics, 101(2), 1077-95.   DOI
10 Hassan, S., Imran, M., Gillani, U., Aljohani, N. R., Bowman, T. D., & Didegah, F. (2017). Measuring social media activity of scientific literature: an exhaustive comparison of Scopus and novel altmetrics big data. Scientometrics, 113(2), 1037-1057.   DOI
11 Kolahi, J., Khazaei, S., Iranmanesh, P., Kim, J., Bang, H., & Khademi, A. (2021). Meta-Analysis of Correlations between Altmetric Attention Score and Citations in Health Sciences. BioMed Research International, 2021, 6680764. https://doi.org/10.1155/2021/6680764   DOI
12 Konkiel, S. (2019). Best practices for tracking altmetrics for your digital library content. Available: https://www.altmetric.com/blog/best-practices-for-tracking-altmetrics-for-your-digital-library-content/
13 Kurniasih, N. (2016). The Implementation of Altmetrics in Library as an Alternative Measurement Method for Scholarly Article Impact in Social Web Ecosystem. Proceedings of International Conference on Science Mapping and the Development of Science, Yogyakarta, 20-21 April 2016.
14 Lepage, M. (2022, May 26). Interview by author [Email coversation].
15 LibGuides community. https://community.libguides.com/
16 Liu, C. & Huang, M. H. (2022). Exploring the relationships between altmetric counts and citations of papers in different academic fields based on co-occurrence analysis. Scientometrics, 127, 4939-4958.   DOI
17 Liu, X., Wei, Y., & Zhao, Z. (2020). How researchers view altmetrics: an investigation of ISSI participants. Aslib Journal of Information Management, 72(3), 361-378.   DOI
18 Luo, H., Sun, A., Erdt, M., Ramkumar, A. S., & Theng, Y. L. (2018). Exploring prestigious citations sourced from top universities in bibliometrics and altmetrics: a case study in the computer science discipline. Scientometrics, 114(1), 1-17.   DOI
19 Nath, A. & Jana, S. (2021). A scientometric review of global altmetrics research. Science & Technology Libraries, 40(3), 325-340.   DOI
20 NatCen (2020). Experiences ofAdvanced DriverAssistance Systems amongst Older Drivers Available: assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/897693/experiences-of-advanced-driver-assistance-systemsamongst-older-drivers.pdf
21 Ortega, L. (2018). The life cycle of altmetric impact: a longitudinal study of six metrics from PlumX. Journal of Informetrics, 12(3), 579-589.   DOI
22 Ortega L. (2018). Disciplinary differences of the impact of altmetric. FEMS Microbiol Lett, 365(7), 1-6.
23 Ouchi, A., Saberi, M. K., Ansari, N., Hashempour, L., & Isfandyari-Moghaddam, A. (2019). Do altmetrics correlate with citations? A study based on the 1,000 most-cited articles. Information Discovery and Delivery, 47(4), 192-202.   DOI
24 Priem, J., Taraborelli, D., Groth, P., & Neylon, C. (2010). Altmetrics: a manifesto, Available: http://altmetrics.org/manifesto
25 Saberi, M. K. & Ekhtiyari, F. (2019). Usage, captures, mentions, social media and citations of LIS highly cited papers: an altmetrics study. Performance Measurement and Metrics, 20(1), 37-47.   DOI
26 Singh, V. K., Singh, P., Karmakar, M., Leta, J., & Mayr, P. (2021). The journal coverage of Web of Science, Scopus and Dimensions: A comparative analysis. Scientometrics, 126, 5113-5142. https://doi.org/10.1007/s11192-021-03948-5   DOI
27 Sutton, S., Miles, R., & Konkiel, S. (2018). Awareness of Altmetrics among LIS Scholars and Faculty. Journal of Education for Library and Information Science, 59(1-2), 33-47.   DOI
28 Thelwall, M. (2020). Mendeley reader counts for US computer science conference papers and journal articles. Quantitative Science Studies, 1(1), 347-359.   DOI
29 Tang, Y., Tseng, H., & Vann, C. (2020). Unwrap citation count, Altmetric Attention Score and Mendeley readership status of highly cited articles in the top-tier LIS journals. Global Knowledge, Memory and Communication, 69(8-9), 653-664.   DOI
30 Thelwall, M. (2017). Mendeley reader counts offer early evidence of the scholarly impact of academic articles (1/17/2017), Available: https://blogs.lse.ac.uk/impactofsocialsciences/2017/01/17/mendeley-reader-counts-offer-early-evidence-of-the-scholarly-impact-of-academic-articles/
31 Thelwall, M. & Nevill, T. (2018), Could scientists use Altmetric.com scores to predict longer term citation counts?. Journal of Informetrics, 12(1), 237-248.   DOI
32 University of Colorado School of Medicine. (2016). Guide To Preparing A Dossier For Promotion Or Tenure, Available: https://www.ucdenver.edu/docs/librariesprovider173/default-document-library/dossierbuildingguidemay2016.pdf?sfvrsn=96f858b9_2
33 Vaughan, L., Tang, J., & Yang, R. (2017). Investigating disciplinary differences in the relationships between citations and downloads. Scientometrics, 111(3), 1533-1545.   DOI
34 Vilchez-Roman, C., Huaman-Delgado, F., & Alhuay-Quispe, J. (2020). Social dimension activates the usage and academic impact of Open Access publications in Andean countries: a structural modeling-based approach. Information Development, 37(2), 209-220.
35 Wang, X., Fang, Z., & Guo, X. (2016). Tracking the digital footprints to scholarly articles from social media. Scientometrics, 109, 1365-1376.   DOI
36 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.   DOI
37 Wikipedia (2018). Engagement marketing: Difference between revisions. Available: https://en.wikipedia.org/?diff=prev&oldid=823479412#altmetric_citation_82840f12-26c3-4644-b160-33c8e8f26e71
38 Winter, J. C. F. (2015). The relationship between tweets, citations, and article views for PLOS ONE articles. Scientometrics, 102, 1773-1779.   DOI
39 Ye, Y. E., Na, J. C., & Oh, P. (2022). Are automated accounts driving scholarly communication on twitter? a case study of dissemination of COVID-19 publications. Scientometrics, 127(5), 2151-2172.   DOI
40 Sato, S. & Yoshida, M. (2017). Availability of altmetrics for articles in Japanese society journals. Journal of Information and Knowledge Society, 27(1), 23-42. Available: https://www.jstage.jst.go.jp/article/jsik/27/1/27_2017_009/_pdf