• Journal of Information Science Theory and Practice
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• v.9 no.4
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• pp.75-83
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• 2021

Mendeley reader count is good evidence of the early impact of scientific output since it appears before citations. This paper aims to scope and compare Mendeley readers of Library and Information Science (LIS) articles published from India and China. Mendeley readership data for the highly cited 1,000 articles in Web of Science are extracted using Webometric Analyst for both countries and are analysed using Excel and SPSS. The findings reveal that LIS articles that are published from China got more readers as compared to LIS articles published from India with an excess of 97 readers per paper on Mendeley. The occupational status of readers tells that PhD students are the top readers for both the countries' publications, followed by masters students. Discipline-wise readership shows that readers were spread across 29 different fields, with the highest readers from business, management and accounting, followed by computer science for both countries' publications. Location-wise readership depicts that the top engaged readers are from the United States for both the countries' publications. Finally, the study reports a positive association between citations and Mendeley bookmarks, justifying that Mendeley readership can be used to measure the early research impact of LIS scholarship in both countries.

• Journal of Korean Library and Information Science Society
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• v.48 no.1
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• pp.77-97
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• 2017

With reference management tool based on web, we could understand not only impact about non-author, such as hand-on worker, educator, who are out of academia, but also trace the subject fields of readers and their status. This study by analyzing mendeley, understand what kinds of subject fields and status of readers read library and information science field articles. As a result of analyzing the status and the major of the reader, readers were distributed in the fields of business administration, education and so on, and according to the reader's major, there was a significant difference (p = .000) between the subject area of relatively read a lot. By the way, as the result of relational analysis between citation rate and numbers of mendeley readership about medeley saved articles, correlation coefficient shows 0.585, however as the result of relational analysis limiting the groups, in case of author group who tends to read the articles for citing, correlation coefficient shows 0.619. On the other hand, non-author group shows 0.384.

• Journal of the Korean Society for information Management
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• v.35 no.4
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• pp.107-124
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• 2018

Mendeley readership data could be used to understand how research outcome be spent outside of academia in multi way. So it could be utilized to understand unknown world which citation rate could not explain still now. This study, by conducting a country network analysis using Mendeley's co readership data about articles of Korea related research, clusters countries that share common academic interest. As a result, the US and other advanced countries in all fields showed high overall and regional centrality, indicating that they have overall cooperation and potential for exchange of Korea related studies. Some developing countries have shown high regional centrality and are linked to common academic interests. In the medical and social sciences, the OECD and developing countries have formed a separate group of readers, and the engineering sector has been characterized by emerging developing countries as a large community of readers. In addition, engineering science field has shown that network density is relatively high, so there might be high possibility of academic exchanges, knowledge dissemination and cooperation among countries.

• Journal of the Korean Society for Library and Information Science
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• v.56 no.2
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• pp.35-55
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• 2022

As altmetrics has received a lot of attention as an muti-dimensional impact assessment tool, it is necessary to verify whether it can supplement the citation-based research performance evaluation system. This study analyzed and compared the effects of each altmetrics sources on citation by sampling 1,600 high-cited papers published in the last 10 years (Sample A) and non-year-limited papers (Sample B) indexed in Scopus. In addition, it was analyzed whether the OA of the paper had a moderating effect on the numbers of cited-by, and the difference according to the samples was verified. As a result of the analysis, only the number of Mendeley bookmark readers was analyzed to have a positive (+) effect on the numbers of cited-by, and OA status had a significant moderating effect in both groups. However, in sample A, OA showed a reinforcing effect on cited-by, whereas Sample B showed a weakening effect, showing a difference. On the other hand, social mention such as media reports do not have a significant effect on the cited-by regardless of OA conditions, but they can be used to understand the social impact of non-academic mass readers.

• Journal of Korean Library and Information Science Society
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• v.53 no.4
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• pp.143-162
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• 2022

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.