| Autor: |
Chingath, Vysakh, Ramya, A. V. |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
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| Zdroj: |
Chingath, Vysakh and Ramya, A. V. Mendeley Readership Characteristics of Library and Information Science Articles: An Altmetric Exploration. Informology, 2023, vol. 2, n. 2, pp. 41-52. [Journal article (Paginated)] |
| Druh dokumentu: |
Journal article (Paginated) |
| Popis: |
The present study assesses the occupation, discipline and location-wise Mendeley readership characteristics of LIS articles. Besides, the study analyzed the association between citations and Mendeley readership. Data for the analysis were collected from the WoS database by searching the keyword "Information science and Library science" through the advanced search feature. To extract the Mendeley readership of the articles, Webometric Analyst 4.1 was used. It was found that out of 16796 articles, 8370 (44.12%) articles have a readership. Nine user categories were reported to read LIS papers, and PhD/doctoral students were the most readers with 147217 readers, followed by postgraduate/master's students with 112597 readers. Readers from the Computer Science discipline were found to be the most intake of the LIS articles with 99001 reads, followed by readers from Engineering (88210). Geographically, the highest readership was recorded in the United States with 8442 readers, Malaysia with 1809 readers and Brazil with 1720 readers. A low positive correlation was reported between the citations and Mendeley readership for the articles, and the association did not become strong in the longer term. The study's findings offer a hint for scientometricians to use Mendeley metrics for measuring the early impact of LIS articles along with the traditional citation metrics. |
| Databáze: |
E-LIS (Eprints in Library & Information Science) |
| Externí odkaz: |
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