The "Russian Hirsch": Predictors of citation usage of scholarly works in the RSCI
Voprosy Obrazovaniya / Educational Studies Moscow, ISSN: 2412-4354, Issue: 1, Page: 230-255
2020
- 3Citations
- 3Captures
Metric Options: Counts1 Year3 YearSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations3
- Citation Indexes3
- CrossRef3
- Captures3
- Readers3
Article Description
The article investigates the predictors of citation rate in the Russian Science Citation Index (RSCI) for Russian publications in psychology. Four groups of indicators are analyzed: formal attributes of a publication (12 indicators), parameters of publication visibility on eLibrary (3 indicators) and PsyJournals (2 indicators) that define accessibility of publication to potential readers, and author-based citation parameters (3). Special attention is paid to citation parameters as qualitative characteristics of the author's method of elaborating the scientific text and construing dialogue (in the form of citations) with other researchers. Relationship between the indicators analyzed and the RSCI citation rate is proven statistically using the multivariate statistical methods of factor analysis and cluster analysis. For each of the four groups, the strongest predictors of citation rate are identified by multiple regression analysis, which are then compared by their predictive power. It is shown that visibility (accessibility) indicators are the best predictors of citation rate, followed by formal publication attributes and, finally, citation type parameters as having the lowest predictive power. The method of logistic regression allows to identify the ultimate predictors of citation rate and measure their accuracy in predicting whether a publication is low-or highly cited, which is 77.3% and 72.9% for the indicators of visibility on PsyJournals and eLibrary (respectively), 69.9% for formal attributes, and 60.9% for citation parameters. A publication that has few in-text citations is very likely to have a low RSCI citation rate, yet a high number of in-text citations does not guarantee a high citation impact. Recommendations are provided for authors to increase their citation rates. The sample is represented by 662 publications in six Russian psychology journals, each indexed in the RSCI, Web of Science, and Scopus.
Bibliographic Details
National Research University, Higher School of Economics (HSE)
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