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{"title":"Amplifying Research: The Potential for Podcasts to Boost <i>Radiology</i> Journal Article Exposure.","authors":"Mark Wang, Thuy Le, David A Leswick","doi":"10.1148/radiol.233057","DOIUrl":null,"url":null,"abstract":"<p><p>Background Podcasts have become an increasingly popular method of communicating information in medicine, including in radiology. However, the effect of podcasts on the reach of journal articles remains unclear. Purpose To evaluate the influence of <i>Radiology</i> podcasts on the performance metrics, including downloads, citations, and Altmetric Attention Score (AAS), of <i>Radiology</i> articles. Materials and Methods This was a retrospective study. All articles published in the print version of <i>Radiology</i> from January 2021 to December 2022 were reviewed; editorials and case reports were excluded. Articles featured on <i>Radiology</i> podcasts were included in the podcast group. Articles published within the same journal issue and category were the nonpodcast group. Downloads, Google Scholar citations, Dimensions citations, and AAS metrics were recorded. The Mann-Whitney <i>U</i> test was used to compare medians and evaluate differences between older and more recently published articles. Results The podcast group, composed of 88 articles, exhibited significantly higher median values for downloads (PG, 4521.0; nonpodcast group, 2123.0; <i>P</i> < .001), Google Scholar citations (podcast group, 14.5; nonpodcast group, 10.0; <i>P</i> = .01), Dimensions citations (podcast group, 12.0; nonpodcast group, 9.0; <i>P</i> = .01), and AAS (podcast group, 43.0; nonpodcast group, 10.0; <i>P</i> < .001) compared with the nonpodcast group of 378 articles. Within both groups, articles published in the earlier nonpodcast group (January to June 2021) had higher downloads (podcast group, <i>P</i> = .08; nonpodcast group, <i>P</i> < .001), Google Scholar citations (podcast group and nonpodcast group, <i>P</i> < .001), and Dimension citations (podcast group and nonpodcast group, <i>P</i> < .001) than articles from the later period (July to December 2022). AAS markedly increased in recent podcast articles (<i>P</i> = .03), but AAS for nonpodcast articles significantly decreased over time (<i>P</i> = .01). Conclusion <i>Radiology</i> articles featured on the <i>Radiology</i> podcast had greater median metrics, including downloads, Google Scholar citations, Dimensions citations, and AAS, compared with nonpodcast articles, suggesting that podcasts can be an effective method of disseminating and amplifying research within the field of radiology. © RSNA, 2024 See also the editorial by Chu and Nicola in this issue.</p>","PeriodicalId":20896,"journal":{"name":"Radiology","volume":null,"pages":null},"PeriodicalIF":12.1000,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Radiology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1148/radiol.233057","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING","Score":null,"Total":0}
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Abstract
Background Podcasts have become an increasingly popular method of communicating information in medicine, including in radiology. However, the effect of podcasts on the reach of journal articles remains unclear. Purpose To evaluate the influence of Radiology podcasts on the performance metrics, including downloads, citations, and Altmetric Attention Score (AAS), of Radiology articles. Materials and Methods This was a retrospective study. All articles published in the print version of Radiology from January 2021 to December 2022 were reviewed; editorials and case reports were excluded. Articles featured on Radiology podcasts were included in the podcast group. Articles published within the same journal issue and category were the nonpodcast group. Downloads, Google Scholar citations, Dimensions citations, and AAS metrics were recorded. The Mann-Whitney U test was used to compare medians and evaluate differences between older and more recently published articles. Results The podcast group, composed of 88 articles, exhibited significantly higher median values for downloads (PG, 4521.0; nonpodcast group, 2123.0; P < .001), Google Scholar citations (podcast group, 14.5; nonpodcast group, 10.0; P = .01), Dimensions citations (podcast group, 12.0; nonpodcast group, 9.0; P = .01), and AAS (podcast group, 43.0; nonpodcast group, 10.0; P < .001) compared with the nonpodcast group of 378 articles. Within both groups, articles published in the earlier nonpodcast group (January to June 2021) had higher downloads (podcast group, P = .08; nonpodcast group, P < .001), Google Scholar citations (podcast group and nonpodcast group, P < .001), and Dimension citations (podcast group and nonpodcast group, P < .001) than articles from the later period (July to December 2022). AAS markedly increased in recent podcast articles (P = .03), but AAS for nonpodcast articles significantly decreased over time (P = .01). Conclusion Radiology articles featured on the Radiology podcast had greater median metrics, including downloads, Google Scholar citations, Dimensions citations, and AAS, compared with nonpodcast articles, suggesting that podcasts can be an effective method of disseminating and amplifying research within the field of radiology. © RSNA, 2024 See also the editorial by Chu and Nicola in this issue.
放大研究:播客提高放射学期刊论文曝光率的潜力》。
背景 播客已成为包括放射学在内的医学领域越来越流行的信息传播方式。然而,播客对期刊论文传播范围的影响仍不清楚。目的 评估《放射学》播客对《放射学》文章的性能指标(包括下载量、引用率和 Altmetric Attention Score (AAS))的影响。材料与方法 这是一项回顾性研究。研究人员审阅了2021年1月至2022年12月期间在《放射学》印刷版上发表的所有文章;社论和病例报告不在此列。在《放射学》播客上发表的文章被纳入播客组。在同一期刊刊号和类别中发表的文章为非播客组别。记录下载量、Google Scholar引用率、Dimensions引用率和AAS指标。采用曼-惠特尼 U 检验比较中位数,并评估较早和较新发表文章之间的差异。结果 由 88 篇文章组成的播客组在下载量(PG,4521.0;非播客组,2123.0;P < .001)、谷歌学术引用率(播客组,14.5; nonpodcast group, 10.0; P = .01), Dimensions citations (podcast group, 12.0; nonpodcast group, 9.0; P = .01), and AAS (podcast group, 43.0; nonpodcast group, 10.0; P < .001) compared with the nonodcast group of 378 articles.在这两组中,较早的非播客组中(2021年1月至6月)发表的文章的下载量(播客组,P = .08;非播客组,P < .001)、谷歌学术引用率(播客组和非播客组,P < .001)和维度引用率(播客组和非播客组,P < .001)均高于较晚时期(2022年7月至12月)的文章。近期播客文章的AAS显著增加(P = .03),但非播客文章的AAS随时间推移显著下降(P = .01)。结论 与非播客文章相比,在《放射学》播客上发表的放射学文章具有更高的中值指标,包括下载量、谷歌学术引用率、维度引用率和AAS,这表明播客是传播和扩大放射学领域研究的有效方法。© RSNA, 2024 另请参阅本期 Chu 和 Nicola 的社论。
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