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Top Altmetric Scores in the Parkinson’s Disease Literature

A new class of social web-based metrics for scholarly publications (altmetrics) has surfaced as a complement to traditional citation-based metrics. Our aim was to study and characterize those recent papers in the field of Parkinson’s disease which had received the highest Altmetric Attention Scores...

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Detalles Bibliográficos
Autores principales: Araújo, Rui, Sorensen, Aaron A., Konkiel, Stacy, Bloem, Bastiaan R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: IOS Press 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5302034/
https://www.ncbi.nlm.nih.gov/pubmed/28222540
http://dx.doi.org/10.3233/JPD-179000
Descripción
Sumario:A new class of social web-based metrics for scholarly publications (altmetrics) has surfaced as a complement to traditional citation-based metrics. Our aim was to study and characterize those recent papers in the field of Parkinson’s disease which had received the highest Altmetric Attention Scores and to compare this attention measure to the traditional metrics. The top 20 papers in our analysis covered a variety of topics, mainly new disease mechanisms, treatment options and risk factors for the development of PD. The main media sources for these high attention papers were news items and Twitter. The papers were published predominantly in high impact journals, suggesting a correlation between altmetrics and conventional metrics. One paper published in a relatively modest journal received a significant amount of attention, reflecting that public attention does not always parallel the traditional metrics. None of the most influential papers in PD, as reviewed by Ponce and Lozano (2011) made it to our list, suggesting that recent publications receive higher attention scores, and that altmetrics may omit older, seminal work in the field.