ARTICLE;
AUTHOR;
CIRCULATION;
CLINICAL ARTICLE;
CONTROLLED STUDY;
HUMAN;
INTENTION TO TREAT ANALYSIS;
MEDICAL LITERATURE;
POPULATION;
PRIORITY JOURNAL;
RANDOMIZED CONTROLLED TRIAL;
RANK SUM TEST;
SCIENCE;
SEASON;
SOCIAL MEDIA;
UNITED STATES;
BIOASSAY;
INTERNET;
JOURNAL IMPACT FACTOR;
NONPARAMETRIC TEST;
PUBLICATION;
RANDOMIZATION;
TRENDS;
WRITING;
AUTHORSHIP;
ENDPOINT DETERMINATION;
HUMANS;
INTERNET;
JOURNAL IMPACT FACTOR;
PERIODICALS AS TOPIC;
RANDOM ALLOCATION;
SOCIAL MEDIA;
STATISTICS, NONPARAMETRIC;
UNITED STATES;
Can tweets predict citations? Metrics of social impact based on Twitter and correlation with traditional metrics of scientific impact
Eysenbach G. Can tweets predict citations? Metrics of social impact based on Twitter and correlation with traditional metrics of scientific impact. J Med Internet Res. 2011;13:e123.
Correlation and interaction visualization of altmetric indicators extracted from scholarly social network activities: Dimensions and structure
Liu CL, Xu YQ, Wu H, Chen SS, Guo JJ. Correlation and interaction visualization of altmetric indicators extracted from scholarly social network activities: Dimensions and structure. J Med Internet Res. 2013;15:e259.
Social media release increases dissemination of original articles in the clinical pain sciences
Allen HG, Stanton TR, Di Pietro F, Moseley GL. Social media release increases dissemination of original articles in the clinical pain sciences. PLoS One. 2013;8:e68914.
The spread of scientific information: Insights from the web usage statistics in PLoS article-level metrics
Yan KK, Gerstein M. The spread of scientific information: Insights from the web usage statistics in PLoS article-level metrics. PLoS One. 2011;6:e19917.