2021
DOI: 10.3346/jkms.2021.36.e74
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Article-Level Metrics

Abstract: In the era of digitization and Open Access, article-level metrics are increasingly employed to distinguish influential research works and adjust research management strategies. Tagging individual articles with digital object identifiers allows exposing them to numerous channels of scholarly communication and quantifying related activities. The aim of this article was to overview currently available article-level metrics and highlight their advantages and limitations. Article views and downloads, citations, and… Show more

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Cited by 24 publications
(22 citation statements)
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“… 8 As a result of the widespread use of the Internet and the increasing use of social media platforms in all areas of life, alternative article metrics (altmetrics) have started to be used frequently in measuring the academic and social impact of articles. 9 10 Various Internet-based tools allow the rapid following of the social impact of a scientific publication by evaluating the shares on social media, comments on YouTube, Facebook, Twitter and mentions in news outlets and on academic platforms. 11 …”
Section: Introductionmentioning
confidence: 99%
“… 8 As a result of the widespread use of the Internet and the increasing use of social media platforms in all areas of life, alternative article metrics (altmetrics) have started to be used frequently in measuring the academic and social impact of articles. 9 10 Various Internet-based tools allow the rapid following of the social impact of a scientific publication by evaluating the shares on social media, comments on YouTube, Facebook, Twitter and mentions in news outlets and on academic platforms. 11 …”
Section: Introductionmentioning
confidence: 99%
“…Twitter account holders discuss their scientific ideas, disseminate research results, and expand networks with professionals [15]. Twitter is well equipped for commenting on and disseminating research ouputs [16].…”
Section: Twittermentioning
confidence: 99%
“…The inability of professionals to actively use Twitter owing to the high intensity of their workloads may limit the spread of scientific information. In addition, bots and trolls can indiscriminately generate tweets, some of which contain misinformation and distorted altmetric analyses [16,19,20].…”
Section: Twittermentioning
confidence: 99%
See 1 more Smart Citation
“…The integration of social media with scholarly journals increases viewership and readership, immediately reflecting on published contents and contributing to science mapping metrics such as altmetrics 13 ( Fig. 1 ).…”
mentioning
confidence: 99%