Library and Information Service

Library and Information Service >

2014 , Vol. 58 >Issue 22: 5 - 11

DOI: https://doi.org/10.13266/j.issn.0252-3116.2014.22.001

Evaluation Model Construction to Evaluate Article's Influence Based on Altmetrics

  • You Qingbin ,
  • Wei Bo ,
  • Tang Shanhong
Expand
  • 1. China Defense Science and Technology Information Center, Beijing 100142;
    2. Research Center for Science Technology and Civilization, University of Science and Technology Beijing, Beijing 100083;
    3. Department of Information Management, Peking University, Beijing 100871

Received date: 2014-09-17

  Revised date: 2014-10-22

  Online published: 2014-11-20

Fold

Abstract

This paper proposes to build an evaluation model to evaluate article's influence based on altmetrics. It collects indicators data from Mendeley platform, takes advantage of related analysis method to filter altmetrics indicators, and makes principal component analysis on these altmetrics indicators. Then it finds the principal component factors and develops principal component evaluation model. At last, it compares the results between the principal component evaluation model and citation evaluation model, and finds that both of them have some consistency in evaluating the high influence articles.

Key words： altmetrics; correlation analysis; principal component analysis; influence

Cite this article

You Qingbin , Wei Bo , Tang Shanhong . Evaluation Model Construction to Evaluate Article's Influence Based on Altmetrics[J]. Library and Information Service, 2014 , 58(22) : 5 -11 . DOI: 10.13266/j.issn.0252-3116.2014.22.001

References

[1] Buschman M, Michalek A. Are alternative metrics still alternative?[J]. Bulletin of the American Society for Information Science and Technology, 2013, 39(4): 35-39.

[2] MacRoberts M H, MacRoberts B R. Problems of citation analysis: A study of uncited and seldom-cited influences[J]. Journal of the American Society for Information Science and Technology, 2010, 61(1): 1-12.

[3] Yan K K, Gerstein M. The spread of scientific information:Insights from the Web usage statistics in PLoS article-level metrics[J]. PLoS One, 2011, 6(5): e19917.

[4] Uren V, Dadzie A S. Relative trends in scientific terms on Twitter [EB/OL]. [2014-09-08].http://altmetrics.org/workshop2011/uren-v0/.

[5] Desai T, Shariff A, Shariff A, et al. Tweeting the meeting: An in-depth analysis of Twitter activity at Kidney Week 2011[J]. PLoS One, 2012, 7(7): e40253.

[6] William G, Jan R. Social metrics for research:Quantity and quality[EB/OL]. [2014-09-08].http://altmetrics.org/altmetrics12/gunn/.

[7] Li Xuemei, Thelwall M. F1000, Mendeley and traditional bibliometric indicators[EB/OL].[2014-09-08].http://2012.sticonference.org/Proceedings/vol2/Li_F1000_541.pdf.

[8] Li Xuemei, Thelwall M, Giustini D. Validating online reference managers for scholarly impact measurement[J]. Scientometrics, 2012, 91(2): 461-471.

[9] Bar-Ilan J, Haustein S, Peters I, et al. Beyond citations: Scholars' visibility on the social Web [EB/OL]. [2014-09-08]. http://arxiv.org/ftp/arxiv/papers/1205/1205.5611.pdf.

[10] Torres D, Cabezas Á, Jiménez E. Altmetrics: New indicators for scientific communication in Web 2.0[J]. Comunicar, 2013, 21(41):53-60.

[11] 刘春丽, 何钦成. 不同类型选择性计量指标评价论文相关性研究——基于Mendeley、F1000 和 Google Scholar 三种学术社交网络工具[J]. 情报学报, 2013, 32(2): 206-212.

[12] Eysenbach G. Can Tweets predict citations? Metrics of social impact based on Twitter and correlation with traditional metrics of scientific impact[EB/OL].[2014-09-08].http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3278109/.

[13] Cabezas-Clavijo Á, Torres-Salinas D. Indicadores de uso y participación en lasrevistascientíficas 2.0:El caso de PLoS One[J]. El Profesional de la Información, 2010, 19(4): 431-434.

[14] Shuai Xin, Pepe A, Bollen J. How the scientific community reacts to newly submitted preprints: Article downloads,Twitter mentions, and citations[J]. PLoS One, 2012, 7(11): e47523.

[15] Priem J, Piwowar H A, Hemminger B M. Altmetrics in the wild: Using social media to explore scholarly impact[EB/OL].[2014-09-08]. http://altmetrics.org/altmetrics12/priem/.

[16] Thelwall M, Haustein S, Larivière V, et al. Do altmetrics work? Twitter and ten other social Web services[J]. PLoS One, 2013, 8(5): e64841.

[17] Costas R, Zahedi Z, Wouters P. Do altmetrics correlate with citations? Extensive comparison of altmetric indicators with citations from a multidisciplinary perspective[EB/OL].[2014-09-08].http://www.cwts.nl/pdf/CWTS-WP-2014-001.pdf.

[18] 主成分分析[OL]. [2014-09-08].http://baike.baidu.com/view/45376.htm?fr=aladdin.

[19] 肯德尔和谐系数[OL]. [2014-09-08].http://baike.baidu.com/view/4414728.htm.

Options
Outlines

/

〈 〉

    Copyrights © LIS Press Co., Ltd. Reproduction is prohibited without permission.