Araújo Rui, Sorensen Aaron A, Konkiel Stacy, Bloem Bastiaan R
Department of Neurology Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal.
ÜberResearch - Digital Science, Inc., Cambridge, MA, USA.
J Parkinsons Dis. 2017;7(1):81-87. doi: 10.3233/JPD-179000.
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.
一类基于社交网络的学术出版物新指标（替代计量指标）已浮出水面，作为传统基于引用的指标的补充。我们的目的是研究和描述帕金森病领域中那些获得最高替代计量关注度得分的近期论文，并将这种关注度衡量方法与传统指标进行比较。我们分析中的前20篇论文涵盖了各种主题，主要是新的疾病机制、治疗选择和帕金森病发展的风险因素。这些高关注度论文的主要媒体来源是新闻报道和推特。这些论文主要发表在高影响力期刊上，表明替代计量指标与传统指标之间存在相关性。一篇发表在影响力相对较小的期刊上的论文获得了大量关注，这反映出公众关注度并不总是与传统指标平行。庞塞和洛萨诺（2011年）综述的帕金森病领域最具影响力的论文中，没有一篇进入我们的列表，这表明近期出版物获得了更高的关注度得分，并且替代计量指标可能会遗漏该领域较旧的开创性工作。
