Evaluating journals' yearly impact with altmetric indicators
LI Simon S.1,2; YE Fred Y.1,2; Fred Y. Ye (E-mail: yye@nju.edu.cn).
2015-06-27
Source PublicationChinese Journal of Library and Information Science
Volume8Issue:2Pages:25-38
AbstractPurpose: Applying SSCI journals of library and information science (LIS) as the research sample, we explore the feasibility of measuring academic journals' yearly social impact by using altmetric indicators.

Design/methodology/approach: Using a sample of 66 SSCI journals in LIS published in 2013, statistics regarding journal mentions in social media and other online tools were retrieved from Altmetric.com and meanwhile citation data was also collected from JCR and Scopus. Based on the method of principal component analysis, data was analyzed for associations between the altmetric and traditional metrics to demonstrate the effect of altmetric indicators on measuring academic journals' yearly impact.

Findings: The Spearman's rank correlation test results show that altmetric indicators and traditional citation counts were significantly correlated, indicating that altmetrics can be used to measure a journal's yearly social impact.

Research limitations: The time frame of data collected from Altmetric.com may not be consistent with that of JCR and Scopus citation data.
 
Practical implications: A new method is provided based on altmetrics for evaluating the social impact of academic journals, which can be applied to design new indicators of short-term journal impact.

Originality value: In this paper, we have established a method for evaluating the social impact of academic journals based on altmetric indictors. Altmetrics can be complementary to traditional citation metrics in assessing a journal's impact within a year or even in a shorter period of time.; Purpose: Applying SSCI journals of library and information science (LIS) as the research sample, we explore the feasibility of measuring academic journals' yearly social impact by using altmetric indicators.

Design/methodology/approach: Using a sample of 66 SSCI journals in LIS published in 2013, statistics regarding journal mentions in social media and other online tools were retrieved from Altmetric.com and meanwhile citation data was also collected from JCR and Scopus. Based on the method of principal component analysis, data was analyzed for associations between the altmetric and traditional metrics to demonstrate the effect of altmetric indicators on measuring academic journals' yearly impact.

Findings: The Spearman's rank correlation test results show that altmetric indicators and traditional citation counts were significantly correlated, indicating that altmetrics can be used to measure a journal's yearly social impact.

Research limitations: The time frame of data collected from Altmetric.com may not be consistent with that of JCR and Scopus citation data.
 
Practical implications: A new method is provided based on altmetrics for evaluating the social impact of academic journals, which can be applied to design new indicators of short-term journal impact.

Originality value: In this paper, we have established a method for evaluating the social impact of academic journals based on altmetric indictors. Altmetrics can be complementary to traditional citation metrics in assessing a journal's impact within a year or even in a shorter period of time.
SubtypeResearch Papers
KeywordAltmetrics Journal Evaluation Informetrics Bibliometrics Principal Component Analysis (Pca)
Subject Area新闻学与传播学 ; 图书馆、情报与文献学
URL查看原文
Indexed By其他
Project NumberGrant No.: 71173187 ; Grant No.: 12&ZD221
Language英语
Funding OrganizationThis work is jointly supported by the National Natural Science Foundation of China ; China Major Key Project of National Social Science Foundation
Document Type期刊论文
Identifierhttp://ir.las.ac.cn/handle/12502/7808
CollectionJournal of Data and Information Science_Chinese Journal of Library and Information Science-2015
Corresponding AuthorFred Y. Ye (E-mail: yye@nju.edu.cn).
Affiliation1.School of Information Management, Nanjing University, Nanjing 210023, China
2.Jiangsu Key Lab of Data Engineering & Knowledge Service, Nanjing University, Nanjing 210023, China
First Author Affilication中国科学院文献情报中心
Recommended Citation
GB/T 7714
LI Simon S.,YE Fred Y.,Fred Y. Ye . Evaluating journals' yearly impact with altmetric indicators[J]. Chinese Journal of Library and Information Science,2015,8(2):25-38.
APA LI Simon S.,YE Fred Y.,&Fred Y. Ye .(2015).Evaluating journals' yearly impact with altmetric indicators.Chinese Journal of Library and Information Science,8(2),25-38.
MLA LI Simon S.,et al."Evaluating journals' yearly impact with altmetric indicators".Chinese Journal of Library and Information Science 8.2(2015):25-38.
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