| 余厚强,Bradley M.Hemminger,肖婷婷,邱均平.新浪微博替代计量指标特征分析[J].中国图书馆学报,2016,42(4):20~36 |
| 新浪微博替代计量指标特征分析 |
| Features of Sina Weibo Altmetrics Indicator |
| 投稿时间：2016-01-29 修订日期：2016-03-20 |
| DOI：10.13530/j.cnki.jlis.160016 |
| 中文关键词: 替代计量学 新浪微博 替代计量指标 科学交流 替代计量指数 |
| 英文关键词: Altmetrics Sina Weibo Altmetrics indicators Scholarly communication Altmetrics score |
| 基金项目:本文系中央高校基本科研业务费专项资金资助重点项目“替代计量学理论与实证研究”(编号:2014104010201)的研究成果之一 |
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| 摘要点击次数: 3804 |
| 全文下载次数: 1194 |
| 中文摘要: |
| 通过对新浪微博替代计量指标进行统计分析,探索中文环境下替代计量指标的特征和规律。研究发现:新浪微博替代计量指标覆盖率不足1%,但由于追踪时间和追踪对象的局限,该数字可能被严重低估；新浪微博关注和讨论较多的论文来自“综合”“生物化学、遗传学与分子生物学”“保健科学”“医学”及“生命科学”等学科；新浪微博替代计量指标的期刊分布满足对数曲线规律,除著名的综合性期刊如Nature等,预印本平台arXiv和开放存取期刊PLoS ONE等也获得了较多关注,生物学和医学的“明星期刊”最多；新浪微博主要关注最新论文,正式出版180天内受到关注的论文比例高达68.66%,同时也会关注经典论文；新浪微博发布者倾向宣传、推介和评论贴近生活、趣味性强、实用性高、涉及生命健康的学术论文,传递出引文无法体现的社会价值和学术价值；新浪微博替代计量指标呈现出显著的离散和集中分布特点,5.1%的学术论文获得了50%的新浪微博关注。此外,受新浪微博关注的论文在全球范围内获得远高于平均水平的关注度。图8。表5。参考文献28。 |
| 英文摘要: |
The full dataset of 4 415 638 records from October 2011 to November 2015 provided by Altmetric.com was adopted. Python scripts were used to parse and extract Sina Weibo related content. 10 733 scholarly articles with Sina Weibo altmetrics indicator were harvested upon which the statistical analysis and case study were conducted. Results showed: 1） As a matter of fact，Sina Weibo did mention scholarly articles.
The coverage of Sina Weibo altmetrics was below 1%. But due to the limitation of tracking period and the tracked object，the coverage was severely underestimated. 2） Articles mentioned by Sina Weibo presented significant disciplinary and journal differences；the motivation behind the Sina Weibo altmetrics indicator was also rich. Articles that got mentioned and discussed the most were from general，Biochemistry，Genetics and Molecular Biology，Health Sciences，Medicine and Life Sciences. To be more specific，these articles were from Cell Biology，Molecular Biology，Genetics，Clinical Sciences，Oncology and Carcinogenesis，Neurosciences，Cognitive Science，Psychology and Economics，etc. A small percentage of journals had outstanding performance in Sina Weibo altmetrics indicator. In addition to prestigious multidisciplinary journals like Nature，Science，Cell，etc.，preprint platform and open access journals like arXiv，PLoS ONE and SSRN，etc. were also highly mentioned by Sina Weibo.
Case studies showed that motivation of Sina Weibo mention included: first，disseminate the research result，because the research was interesting，close to daily life and even overthrew peoples inherent knowledge；second，disseminate the research result in order to recommend usage and references，because the research provided a new tool or operation method；third，review the research result and pose criticism or recognition，because the result was potentially misleading the public. These mentions and discussions all conveyed social value and scholarly value beyond citations. 3） Sina Weibo mainly focused on latest articles，but also mentioned classic articles. Articles that were mentioned or discussed after formal publication within 1 day occupied 22.64%，within 180 days 68.66%. Meanwhile，26.5% of the articles were captured by Sina Weibo 360 days after their formal publication. Case studies showed these literature were classic or historical articles in certain fields，and were used for retrospection，reference or comparison. This way of sharing and using cannot be captured by citations. 4） Sina Weibo altmetrics indicator demonstrated significant scatter and concentration which satisfied the arithmetic curve. 1% of scholarly articles with Sina Weibo altmetrics indicator were responsible for 30% weibos，and 33.4% of the articles corresponded to 80% weibos. This indicated that part of the articles had obtained very high Sina Weibo altmetrics indicator. 5） Altmetric score of scholarly articles with Sina Weibo altmetrics indicator was much higher than the average level. This remained to be true even taking into consideration the time and journal factor. Altmetric score of scholarly articles with Sina Weibo altmetrics indicator was 23.24 times the average altmetrics score of all the articles （on average higher than 86.98% of all articles），and 15.42 times the average altmetrics score of all the articles in the past three months. This suggested that articles captured by Sina Weibo were basically hot scholarly articles in the world and Sina Weibo altmetrics indicator could potentially predict the worldwide attention of the article. 8 figs. 5 tabs. 28 refs.
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