数字图书馆论坛Issue(4)：54-61,8.DOI:10.3772/j.issn.1673-2286.2019.04.008
科研论文在社交网络中的关注度分析*——以PLOS生物医学论文为例
Analysis of the Attention Degree of Scientific Papers on Social Network-Taking Biomedical Papers from PLOS as Example
摘要
Abstract
Using altmetrics data to analyse the attention degree of biomedical papers on social network and explore the factors that affect the network attention of the papers.The 200 consecutive day’s PLOS ALMs data for 8 322 papers and bibliographic data are used in this paper. This paper uses Python self-programming program to analyse the attention process and attention degree differences of papers. The attention process includes the diffusion trend of the paper, the change trend of coverage and the daily visits. The Characteristic Scores and Scales and IF-IDF are used to analyse the attention degree difference and its reasons. In the attention process, biomedical papers have different diffusion trends and increased trends of coverage rate in different media. The 3rd day after the publication of papers was the peak of the attention of the papers, the first week after the publication of papers was the golden period of the attention of papers. For the attention degree differences, the research topic, the country, and the journal impact factor of a paper may affect its attention degree. Papers whose research topicsare urgently related to human health obtain high network attention, like infectious diseases. Medical research led by China attracted lesser attention than that by USA and England. The higher the impact factor of the journal in which the paper was published, the paper more likely to obtain high network attention. The influence of author will not affect the attention of papers.This research shows attention process and analyses the possible factors that influence the attention of biomedical papers on the socialnetwork, expecting for research scholars’ research results provide a foundation and reference for faster diffusion and dissemination.关键词
生物医学论文/网络关注度/Altmetrics/PLOS ALMs/CounterKey words
Biomedical Papers/Network Attention/Altmetrics/PLOS ALMs/Counter分类
社会科学引用本文复制引用
田玥,贺培凤,邰杨芳,吴胜男,张昆,于琦..科研论文在社交网络中的关注度分析*——以PLOS生物医学论文为例[J].数字图书馆论坛,2019,(4):54-61,8.基金项目
本研究得到国家自然科学基金项目"基于多元分析的科研文献微观实体评价理论与实证研究——以生物医学为例"(编号:71573162)和2018年山西省研究生教育创新项目"网络社交媒体中生物医学学术知识的扩散规律研究"(编号:2018SY040)资助. （编号:71573162）
