|
|
|
| Exploratory Analysis of Citation Counts and Altmetrics Indicators of Chinese Academic Books and the Implications |
| Ming Li, Jiang Li, Ming Chen, Shi Jin |
| School of Information Management, Nanjing University, Nanjing 210023 |
|
|
|
|
Abstract This study performed an exploratory analysis of the relationship between citation counts and altmetrics indicators of Chinese academic books, thereby providing a factual reference for the rational construction of a comprehensive impact evaluation system for Chinese academic books under the new academic exchange environment. The selected samples were three categories of top-ten cited books from CBKCI statistical reports, and their altmetrics data were collected from the Douban Reading platform. All data were analyzed by correlation analysis and principal component analysis. Our study found that citation counts and altmetrics indicators reflect different impacts of the sample books and that they are independent and complementary. From the perspective of the data’s internal correlation and clustering, additional factors must be extracted from the altmetrics indicators. The comprehensive evaluation of the impact of Chinese academic books can be conducted horizontally from both academic and social dimensions. Vertically, the level of communication and value judgment should be distinguished. In addition, clarifying the relationship between altmetrics and traditional evaluation methods can make the overall study more systematic. The introduction of altmetrics provides unique value in improving the usefulness of an evaluation system for Chinese academic books.
|
|
Received: 10 January 2019
|
|
|
|
1 AlperinJ R. Ask not what altmetrics can do for you, but what altmetrics can do for developing countries[J]. Bulletin of the American Society for Information Science and Technology, 2013, 39(4): 18-21.
2 PriemJ, TaraborelliD, GrothP, et al. Altmetrics: A manifesto[EB/OL]. [2017-10-08]. http://altmetrics.org/manifesto/.
3 HammarfeltB. Using altmetrics for assessing research impact in the humanities[J]. Scientometrics, 2014, 101(2): 1419-1430.
4 ZuccalaA A, VerleysenF T, CornacchiaR, et al. Altmetrics for the humanities: comparing goodreads reader ratings with citations to history books[J]. Aslib Journal of Information Management, 2015, 67(3): 320-336.
5 KoushaK, ThelwallM. Web indicators for research evaluation. Part 3: books and non-standard outputs[J]. El Profesional de la Información, 2015, 24(6): 724-736.
6 KoushaK, ThelwallM. Can amazon.com reviews help to assess the wider impacts of books?[J]. Journal of the Association for Information Science and Technology, 2016, 67(3): 566-581.
7 Torres-SalinasD, Robinson-GarciaN, GorraizJ. Filling the citation gap: measuring the multidimensional impact of the academic book at institutional level with PlumX[J]. Scientometrics, 2017, 113(3): 1371-1384.
8 刘春丽. Altmetrics工具与机构知识库的整合与效果——以PlumX为例[J]. 图书情报工作, 2015, 59(24): 39-46.
9 熊霞, 高凡, 郭丽君. 外文电子图书学术影响力评价方法探讨——基于BKCI、Scopus Article Metrics、Bookmetrix的实例比较[J]. 现代情报, 2016, 36(10): 118-122.
10 林晓华. 基于Altmetrics工具的电子图书学术影响力评价体系构建——以Springer电子图书为例[J].出版发行研究, 2016(4): 85-89.
11 匡登辉. 外文学术电子图书评价研究——基于Bookmetrix 的实证分析[J]. 现代情报, 2018, 38(5): 110-116.
12 王兰敬, 叶继元. 中文人文社会科学学术图书评价的瓶颈因素及对策研究[J]. 图书与情报, 2014(6): 82-87.
13 任红娟. 我国图书评价方法研究述评[J]. 图书情报知识, 2016(5): 22-29.
14 雷淑义, 吕先竞. Altmetrics视角下的学术图书影响力评价研究[J]. 西南民族大学学报(人文社科版), 2017(6): 225-231.
15 姚莉, 陈祖琴. 《国家哲学社会科学成果文库》影响力评价体系研究[J]. 西南民族大学学报(人文社科版), 2016(6): 232-236.
16 张玉, 潘云涛, 袁军鹏, 等. 论多维视角下中文科技图书学术影响力评价体系的构建[J]. 图书情报工作, 2015, 59(7): 69-76.
17 何峻, 蔡蓉华. 中文图书评价体系研究[J]. 大学图书馆学报, 2016(3): 51-58, 15.
18 项目介绍. 中文学术图书引文索引[EB/OL]. [2018-03-10]. http://cssrac.nju.edu.cn/cbkci/index.php?m=Home&c=Article&a=lists&category=project-intr.
19 CBKCI: 被引排名前十位图书[EB/OL]. [2017-12-29]. http://cssrac.nju.edu.cn/cbkci/index.php?m=Home&c=Article&a=lists& category=stat_2.
20 时立文. SPSS19.0统计分析: 从入门到精通[M]. 北京: 清华大学出版社, 2012.
21 邱均平, 余厚强. 论推动替代计量学发展的若干基本问题[J]. 中国图书馆学报, 2015, 41(1): 4-15.
22 BommannL. Validity of altmetrics data for measuring societal impact: A study using data from Altmetric and F1000 Prime[J]. Journal of Informetrics, 2014, 8(4): 935-950.
23 余厚强. 替代计量指标与引文量相关性的大规模跨学科研究——数值类型、指标种类与用户类别的影响[J]. 情报学报, 2017, 36(6): 606-617.
24 李明, 陈铭. 学术图书Altmetrics评价指标分层框架探析[J]. 现代情报, 2018(5): 106-109.
25 赵蓉英, 张扬, 陈婧. Altmetrics在论文影响力评价中的应用研究[J]. 情报科学, 2018(6): 3-8, 39.
26 MinC, DingY, LiJ, et al. Innovation or imitation: the diffusion of citations[EB/OL]. [2018-10-08]. https://onlinelibrary.wiley.com/ doi/pdf/10.1002/asi.24047.
27 杨柳, 丁楠, 田稷. Altmetrics视角下机构知识库学者影响力评价研究[J]. 情报理论与实践, 2017(6): 104-110.
28 Giménez-ToledoE, Tejada-ArtigasC, Ma?ana-RodríguezJ. Evaluation of scientific books’ publishers in social sciences and humanities: Results of a survey[J]. Research Evaluation, 2013, 22(1): 64-77.
29 张艳丽. 学术图书质量评价方法与评价指标研究评述[J]. 出版发行研究, 2015(12): 18-21.
30 克里斯·安德森. 长尾理论[M]. 乔江涛, 石晓燕, 译. 北京: 中信出版社, 2015: 12.
31 TaraborelliD. Soft peer review: Social software and distributed scientific evaluation[C]//Proceedings of the 8th International Conference on the Design of Cooperative Systems, 2008: 20-23. |
|
|
|
