And they try, and they praise, but they don’t marry: once again about the connection between downloads, views and citations

A. Khokhlov, G. Morgunova
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Abstract

The question of the possible influence of the number of views / downloads of scientific articles from journal websites, as well as the number of their mentions in social networks on the number of subsequent citations of these publications is considered. In particular, an analysis of some of such correlations is carried out on the example of 39 Russian translated journals of biological orientation distributed by the Springer Nature publishing house. Data from 2019–2021 was used regarding the number of article downloads, impact factors of editions, their SJR, CiteScore, SNIP, and usage factors. An analysis of the results obtained, as well as data available on the Internet, allowed the authors to conclude that the relationship between the number of downloads or altmetrics and the number of citations is not very strong, although it is quite reliable. It is emphasized that at present a large number of downloads / views of articles are carried out by users who are not engaged in science and, accordingly, do not write articles for academic journals. They are simply interested in scientific research results, and the Internet is now available to almost anyone. This also applies to the discussion of scientific publications in social networks. Apparently, the frequent mention of work in such networks really stimulates its downloads – however, this becomes obvious only if the article is an open access one, because the majority of “law-abiding” users of social networks do not have legal access to publications in subscription editions. The mentioned circumstances, according to the authors, will lead to a gradual weakening of the correlations considered in the article.
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他们尝试,他们赞扬,但他们不结婚:再次关于下载,浏览量和引用之间的联系
研究还考虑了从期刊网站上阅读/下载科学文章的次数以及这些文章在社交网络上被提及的次数对这些出版物随后被引用的次数可能产生的影响。特别以施普林格·自然出版社发行的39本俄语翻译的生物学方向期刊为例,对其中一些相关性进行了分析。使用2019-2021年的数据,包括文章下载量、版本影响因子、SJR、CiteScore、SNIP和使用因子。通过对获得的结果以及互联网上的可用数据的分析,作者得出结论:下载次数或替代指标与引用次数之间的关系不是很强,尽管它相当可靠。需要强调的是,目前大量文章的下载/浏览是由非从事科学工作的用户进行的,因此他们不会为学术期刊撰写文章。他们只是对科学研究结果感兴趣,而且现在几乎任何人都可以使用互联网。这也适用于社交网络中对科学出版物的讨论。显然,在这些网络中频繁提及的作品确实刺激了它的下载——然而,这只有在文章是开放访问的情况下才会变得明显,因为大多数“守法”的社交网络用户没有合法访问订阅版出版物的权利。根据作者的说法,上述情况将导致文章中考虑的相关性逐渐减弱。
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