Correlation Between Altmetric Scores and Citation Count in 4 High-Impact Plastic Surgery Journals
© The Author(s) 2023. Published by Oxford University Press on behalf of The Aesthetic Society. All rights reserved. For permissions, please e-mail: journals.permissionsoup.com..
BACKGROUND: The Altmetric Attention Score (AAS) aims to determine the impact of research articles throughout the internet and social media outlets. The AAS is a weighted average of the interaction on platforms including Twitter, Facebook, Reddit, and more.
OBJECTIVES: The aim of this study was to investigate the relationship between the AAS and traditional bibliometrics across plastic surgery journals.
METHODS: Articles, number of citations (NOC), and H-index information in Annals of Plastic Surgery (APS), Plastic and Reconstructive Surgery (PRS), Plastic and Reconstructive Surgery Global Open (PRS GO), and Aesthetic Surgery Journal (ASJ) from 2017, 2018, and 2019 were queried with the Scopus Online Tool. AAS metrics were collected with the Altmetric Score Calculator Bookmarklet. Descriptive statistics, Spearman rank-correlation analyses, and analyses of variance were performed to measure associations between NOC and AAS.
RESULTS: A total of 3612 articles were analyzed. NOC was weakly correlated with AAS in APS, PRS GO, and ASJ, and moderately correlated with AAS in PRS. NOC was weakly correlated with Twitter mentions in APS, PRS GO, and ASJ, and moderately correlated in PRS. NOC was weakly correlated with news outlet reporting. The H-index of the first author showed more significant correlations with the AAS than the H-index of the last author.
CONCLUSIONS: NOC and H-index of the first author correlated with AAS in the plastic surgery literature, suggesting AAS may be a useful adjunct to traditional bibliometrics when evaluating the impact and reach of peer-reviewed articles.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2023 |
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| Erschienen: |
2023 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:43 |
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| Enthalten in: |
Aesthetic surgery journal - 43(2023), 11 vom: 13. Okt., Seite NP943-NP948 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Smartz, Taylor M [VerfasserIn] |
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| Anmerkungen: |
Date Revised 13.10.2023 published: Print Citation Status Publisher |
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| doi: |
10.1093/asj/sjad239 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| 520 | |a © The Author(s) 2023. Published by Oxford University Press on behalf of The Aesthetic Society. All rights reserved. For permissions, please e-mail: journals.permissionsoup.com. | ||
| 520 | |a BACKGROUND: The Altmetric Attention Score (AAS) aims to determine the impact of research articles throughout the internet and social media outlets. The AAS is a weighted average of the interaction on platforms including Twitter, Facebook, Reddit, and more | ||
| 520 | |a OBJECTIVES: The aim of this study was to investigate the relationship between the AAS and traditional bibliometrics across plastic surgery journals | ||
| 520 | |a METHODS: Articles, number of citations (NOC), and H-index information in Annals of Plastic Surgery (APS), Plastic and Reconstructive Surgery (PRS), Plastic and Reconstructive Surgery Global Open (PRS GO), and Aesthetic Surgery Journal (ASJ) from 2017, 2018, and 2019 were queried with the Scopus Online Tool. AAS metrics were collected with the Altmetric Score Calculator Bookmarklet. Descriptive statistics, Spearman rank-correlation analyses, and analyses of variance were performed to measure associations between NOC and AAS | ||
| 520 | |a RESULTS: A total of 3612 articles were analyzed. NOC was weakly correlated with AAS in APS, PRS GO, and ASJ, and moderately correlated with AAS in PRS. NOC was weakly correlated with Twitter mentions in APS, PRS GO, and ASJ, and moderately correlated in PRS. NOC was weakly correlated with news outlet reporting. The H-index of the first author showed more significant correlations with the AAS than the H-index of the last author | ||
| 520 | |a CONCLUSIONS: NOC and H-index of the first author correlated with AAS in the plastic surgery literature, suggesting AAS may be a useful adjunct to traditional bibliometrics when evaluating the impact and reach of peer-reviewed articles | ||
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| 700 | 1 | |a Sayegh, Yoseph |e verfasserin |4 aut | |
| 700 | 1 | |a Lyons, Nicole |e verfasserin |4 aut | |
| 700 | 1 | |a Singh, Devinder P |e verfasserin |4 aut | |
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