The Sci-Hub effect on papers' citations.
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| Název: | The Sci-Hub effect on papers' citations. |
|---|---|
| Autoři: | Correa, Juan C., Laverde-Rojas, Henry, Tejada, Julian, Marmolejo-Ramos, Fernando |
| Zdroj: | Scientometrics; Jan2022, Vol. 127 Issue 1, p99-126, 28p |
| Abstrakt: | Citations are often used as a metric of the impact of scientific publications. Here, we examine how the number of downloads from Sci-Hub as well as various characteristics of publications and their authors predicts future citations. Using data from 12 leading journals in economics, consumer research, neuroscience, and multidisciplinary research, we found that articles downloaded from Sci-Hub were cited 1.72 times more than papers not downloaded from Sci-Hub and that the number of downloads from Sci-Hub was a robust predictor of future citations. Among other characteristics of publications, the number of figures in a manuscript consistently predicts its future citations. The results suggest that limited access to publications may limit some scientific research from achieving its full impact. [ABSTRACT FROM AUTHOR] |
| Copyright of Scientometrics is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Databáze: | Complementary Index |
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| Header | DbId: edb DbLabel: Complementary Index An: 154817677 RelevancyScore: 916 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 915.911193847656 |
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| Items | – Name: Title Label: Title Group: Ti Data: The Sci-Hub effect on papers' citations. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Correa%2C+Juan+C%2E%22">Correa, Juan C.</searchLink><br /><searchLink fieldCode="AR" term="%22Laverde-Rojas%2C+Henry%22">Laverde-Rojas, Henry</searchLink><br /><searchLink fieldCode="AR" term="%22Tejada%2C+Julian%22">Tejada, Julian</searchLink><br /><searchLink fieldCode="AR" term="%22Marmolejo-Ramos%2C+Fernando%22">Marmolejo-Ramos, Fernando</searchLink> – Name: TitleSource Label: Source Group: Src Data: Scientometrics; Jan2022, Vol. 127 Issue 1, p99-126, 28p – Name: Abstract Label: Abstract Group: Ab Data: Citations are often used as a metric of the impact of scientific publications. Here, we examine how the number of downloads from Sci-Hub as well as various characteristics of publications and their authors predicts future citations. Using data from 12 leading journals in economics, consumer research, neuroscience, and multidisciplinary research, we found that articles downloaded from Sci-Hub were cited 1.72 times more than papers not downloaded from Sci-Hub and that the number of downloads from Sci-Hub was a robust predictor of future citations. Among other characteristics of publications, the number of figures in a manuscript consistently predicts its future citations. The results suggest that limited access to publications may limit some scientific research from achieving its full impact. [ABSTRACT FROM AUTHOR] – Name: Abstract Label: Group: Ab Data: <i>Copyright of Scientometrics is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11192-020-03806-w Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 28 StartPage: 99 Titles: – TitleFull: The Sci-Hub effect on papers' citations. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Correa, Juan C. – PersonEntity: Name: NameFull: Laverde-Rojas, Henry – PersonEntity: Name: NameFull: Tejada, Julian – PersonEntity: Name: NameFull: Marmolejo-Ramos, Fernando IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: Jan2022 Type: published Y: 2022 Identifiers: – Type: issn-print Value: 01389130 Numbering: – Type: volume Value: 127 – Type: issue Value: 1 Titles: – TitleFull: Scientometrics Type: main |
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