Title |
Inferring Social Status and Rich Club Effects in Enterprise Communication Networks
|
---|---|
Published in |
PLOS ONE, March 2015
|
DOI | 10.1371/journal.pone.0119446 |
Pubmed ID | |
Authors |
Yuxiao Dong, Jie Tang, Nitesh V. Chawla, Tiancheng Lou, Yang Yang, Bai Wang |
X Demographics
The data shown below were collected from the profiles of 19 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 11% |
Switzerland | 1 | 5% |
Italy | 1 | 5% |
Hungary | 1 | 5% |
France | 1 | 5% |
Australia | 1 | 5% |
Germany | 1 | 5% |
Portugal | 1 | 5% |
Unknown | 10 | 53% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 12 | 63% |
Scientists | 5 | 26% |
Science communicators (journalists, bloggers, editors) | 2 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 1 | 3% |
United States | 1 | 3% |
Unknown | 29 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 5 | 16% |
Researcher | 4 | 13% |
Student > Ph. D. Student | 4 | 13% |
Professor > Associate Professor | 3 | 10% |
Student > Doctoral Student | 3 | 10% |
Other | 5 | 16% |
Unknown | 7 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 9 | 29% |
Social Sciences | 3 | 10% |
Business, Management and Accounting | 3 | 10% |
Psychology | 2 | 6% |
Nursing and Health Professions | 1 | 3% |
Other | 5 | 16% |
Unknown | 8 | 26% |