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 |
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 |
投稿时间:2019-03-24 |
DOI:10.3772/j.issn.1673-2286.2019.04.008 |
中文关键词: 生物医学论文;网络关注度;Altmetrics;PLOS ALMs;Counter |
英文关键词: Biomedical Papers; Network Attention; Altmetrics; PLOS ALMs; Counter |
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。 |
作者 | 单位 | 田玥 | 山西医科大学管理学院 | 贺培凤 | 山西医科大学管理学院 | 邰杨芳 | 山西医科大学管理学院 | 吴胜男 | 山西医科大学管理学院 | 张昆 | 山西医科大学管理学院 | 于琦 | 山西医科大学管理学院 |
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中文摘要: |
运用Altmetrics数据分析生物医学论文在网络中的关注度,探索影响论文网络关注度的因素。以8 322 篇论文连续200天的PLOS ALMs数据和其题录信息为数据,运用Python自编程序从论文关注过程和关注度差异两个维度进行分析。关注过程主要从论文在不同媒介上的扩散趋势、覆盖率变化趋势和单日访问量进行分析。关注度差异主要是运用特征分数和尺度、词频-逆文档频率方法对关注度差异背后的原因进行探索。从关注过程来看,生物医学论文在不同媒介上的扩散趋势和覆盖率增长趋势各有不同。论文发表后3天是关注的巅峰期,发表后7天内是关注的黄金期。从关注度差异来看,生物医学论文的研究主题、国家/地区、来源期刊均会影响论文在网络中的关注度。研究主题与人类健康迫切相关的论文得到较高的网络关注度,如传染性病毒。与美国、英国相比,我国的论文获得网络关注度较低。论文所在期刊的影响因子越高,论文越有可能获得较高的网络关注度。论文作者的影响力对论文在网络中的关注度不会产生影响。本研究为科研学者展示了生物医学论文在社交网络中的关注过程并分析影响关注度的可能因素,期望能为科研学者的研究成果更快速地扩散和传播提供依据和参考。 |
英文摘要: |
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. |
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