{"title":"社交媒体对睡眠期刊的影响：altmetrics与引用数之间的相关性分析。","authors":"Salman Hussain, Raisa Chowdhury, Yaqoub Sharhan, Hamad Almhanedi, Mohammed Alterki, Abdulmohsen Alterki, Mohamed Abdelwahab","doi":"10.1007/s11325-025-03274-7","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>The assessment of scientific articles is essential for making informed decisions regarding promotion, tenure, and funding, as well as for identifying influential research within a specific field. Traditional metrics like citation count have been the standard for evaluating the reach and influence of publications, but they have limitations. A new web-based metric-the Altmetric Attention Score (AAS)-offers a dynamic analysis of online engagement through social media platforms, including X (Formerly Twitter), Facebook, and YouTube. This study primarily examines the role of X activity in shaping AAS and explores its correlation with traditional citation counts in sleep medicine journals.</p><p><strong>Methods: </strong>The study included articles from the top 10 sleep journals ranked by impact factor, focusing on articles published in 2020 and 2021. Data on citation counts were extracted from Journal Citation Reports (JCR), while AAS data were retrieved from the Altmetrics website. The analysis primarily focused on X activity as a proxy for online engagement. Pearson's and Spearman's correlations were used to evaluate the relationship between AAS, citation counts, and X activity. Statistical analysis was conducted using R software.</p><p><strong>Results: </strong>A total of 3,944 articles were analyzed. The average AAS was 20, with a median of 2. A weak but statistically significant positive correlation (r = 0.22, P < 0.001) was observed between AAS and citation counts. X activity showed a strong correlation with AAS (r = 0.65, P < 0.001), but only a weak correlation with citation counts (r = 0.16, P < 0.001).</p><p><strong>Conclusion: </strong>This study highlights the strong relationship between X activity and AAS, emphasizing X's role in influencing Altmetric scores. However, the weaker correlation between AAS and citation counts implies that while AAS may measure immediate online attention, it is not always a reliable predictor of long-term academic impact.</p>","PeriodicalId":21862,"journal":{"name":"Sleep and Breathing","volume":"29 1","pages":"98"},"PeriodicalIF":2.0000,"publicationDate":"2025-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The impact of social media on sleep journals: analyzing the correlation between altmetrics and citation count.\",\"authors\":\"Salman Hussain, Raisa Chowdhury, Yaqoub Sharhan, Hamad Almhanedi, Mohammed Alterki, Abdulmohsen Alterki, Mohamed Abdelwahab\",\"doi\":\"10.1007/s11325-025-03274-7\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose: </strong>The assessment of scientific articles is essential for making informed decisions regarding promotion, tenure, and funding, as well as for identifying influential research within a specific field. Traditional metrics like citation count have been the standard for evaluating the reach and influence of publications, but they have limitations. A new web-based metric-the Altmetric Attention Score (AAS)-offers a dynamic analysis of online engagement through social media platforms, including X (Formerly Twitter), Facebook, and YouTube. This study primarily examines the role of X activity in shaping AAS and explores its correlation with traditional citation counts in sleep medicine journals.</p><p><strong>Methods: </strong>The study included articles from the top 10 sleep journals ranked by impact factor, focusing on articles published in 2020 and 2021. Data on citation counts were extracted from Journal Citation Reports (JCR), while AAS data were retrieved from the Altmetrics website. The analysis primarily focused on X activity as a proxy for online engagement. Pearson's and Spearman's correlations were used to evaluate the relationship between AAS, citation counts, and X activity. Statistical analysis was conducted using R software.</p><p><strong>Results: </strong>A total of 3,944 articles were analyzed. The average AAS was 20, with a median of 2. A weak but statistically significant positive correlation (r = 0.22, P < 0.001) was observed between AAS and citation counts. X activity showed a strong correlation with AAS (r = 0.65, P < 0.001), but only a weak correlation with citation counts (r = 0.16, P < 0.001).</p><p><strong>Conclusion: </strong>This study highlights the strong relationship between X activity and AAS, emphasizing X's role in influencing Altmetric scores. However, the weaker correlation between AAS and citation counts implies that while AAS may measure immediate online attention, it is not always a reliable predictor of long-term academic impact.</p>\",\"PeriodicalId\":21862,\"journal\":{\"name\":\"Sleep and Breathing\",\"volume\":\"29 1\",\"pages\":\"98\"},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2025-02-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Sleep and Breathing\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1007/s11325-025-03274-7\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"CLINICAL NEUROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sleep and Breathing","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s11325-025-03274-7","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
The impact of social media on sleep journals: analyzing the correlation between altmetrics and citation count.
Purpose: The assessment of scientific articles is essential for making informed decisions regarding promotion, tenure, and funding, as well as for identifying influential research within a specific field. Traditional metrics like citation count have been the standard for evaluating the reach and influence of publications, but they have limitations. A new web-based metric-the Altmetric Attention Score (AAS)-offers a dynamic analysis of online engagement through social media platforms, including X (Formerly Twitter), Facebook, and YouTube. This study primarily examines the role of X activity in shaping AAS and explores its correlation with traditional citation counts in sleep medicine journals.
Methods: The study included articles from the top 10 sleep journals ranked by impact factor, focusing on articles published in 2020 and 2021. Data on citation counts were extracted from Journal Citation Reports (JCR), while AAS data were retrieved from the Altmetrics website. The analysis primarily focused on X activity as a proxy for online engagement. Pearson's and Spearman's correlations were used to evaluate the relationship between AAS, citation counts, and X activity. Statistical analysis was conducted using R software.
Results: A total of 3,944 articles were analyzed. The average AAS was 20, with a median of 2. A weak but statistically significant positive correlation (r = 0.22, P < 0.001) was observed between AAS and citation counts. X activity showed a strong correlation with AAS (r = 0.65, P < 0.001), but only a weak correlation with citation counts (r = 0.16, P < 0.001).
Conclusion: This study highlights the strong relationship between X activity and AAS, emphasizing X's role in influencing Altmetric scores. However, the weaker correlation between AAS and citation counts implies that while AAS may measure immediate online attention, it is not always a reliable predictor of long-term academic impact.
期刊介绍：
The journal Sleep and Breathing aims to reflect the state of the art in the international science and practice of sleep medicine. The journal is based on the recognition that management of sleep disorders requires a multi-disciplinary approach and diverse perspectives. The initial focus of Sleep and Breathing is on timely and original studies that collect, intervene, or otherwise inform all clinicians and scientists in medicine, dentistry and oral surgery, otolaryngology, and epidemiology on the management of the upper airway during sleep.
Furthermore, Sleep and Breathing endeavors to bring readers cutting edge information about all evolving aspects of common sleep disorders or disruptions, such as insomnia and shift work. The journal includes not only patient studies, but also studies that emphasize the principles of physiology and pathophysiology or illustrate potentially novel approaches to diagnosis and treatment. In addition, the journal features articles that describe patient-oriented and cost-benefit health outcomes research. Thus, with peer review by an international Editorial Board and prompt English-language publication, Sleep and Breathing provides rapid dissemination of clinical and clinically related scientific information. But it also does more: it is dedicated to making the most important developments in sleep disordered breathing easily accessible to clinicians who are treating sleep apnea by presenting well-chosen, well-written, and highly organized information that is useful for patient care.
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