06 اردیبهشت 1403
زهره زاهدي

زهره زاهدی

مرتبه علمی: استادیار
نشانی: دانشکده ادبیات و علوم انسانی - گروه علم اطلاعات و دانش شناسی
تحصیلات: دکترای تخصصی / علم اطلاعات و دانش شناسی/ شاخص های رسانه های اجتماعی (آلتمتریکس)
تلفن: -
دانشکده: دانشکده ادبیات و علوم انسانی

مشخصات پژوهش

عنوان The thematic orientation of publications mentioned on social media: Large-scale disciplinary comparison of social media metrics with citations
نوع پژوهش مقالات در نشریات
کلیدواژه‌ها
Citation Analysis, Bibliometrics, Altmetrics, Science Indicators, Science mapping, Social Media Metrics
مجله Aslib Journal of Information Management
شناسه DOI 260-288
پژوهشگران رودریگو کوستاس (نفر اول) ، زهره زاهدی (نفر دوم) ، پال ووترز (نفر سوم)

چکیده

Purpose The purpose of this paper is to analyze the disciplinary orientation of scientific publications that were mentioned on different social media platforms, focussing on their differences and similarities with citation counts. Design/methodology/approach Social media metrics and readership counts, associated with 500,216 publications and their citation data from the Web of Science database, were collected from Altmetric.com and Mendeley. Results are presented through descriptive statistical analyses together with science maps generated with VOSviewer. Findings The results confirm Mendeley as the most prevalent social media source with similar characteristics to citations in their distribution across fields and their density in average values per publication. The humanities, natural sciences, and engineering disciplines have a much lower presence of social media metrics. Twitter has a stronger focus on general medicine and social sciences. Other sources (blog, Facebook, Google+, and news media mentions) are more prominent in regards to multidisciplinary journals. Originality/value This paper reinforces the relevance of Mendeley as a social media source for analytical purposes from a disciplinary perspective, being particularly relevant for the social sciences (together with Twitter). Key implications for the use of social media metrics on the evaluation of research performance (e.g. the concentration of some social media metrics, such as blogs, news items, etc., around multidisciplinary journals) are identified.