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X Demographics
Mendeley readers
Title |
Reflections about Garfield’s algorithm
|
---|---|
Published in |
RAUSP Management Journal, October 2019
|
DOI | 10.1108/rausp-05-2019-0079 |
Authors |
Laura Sinay, Maria Cristina Fogliatti de Sinay, Rodney William Carter, Aurea Martins |
X Demographics
The data shown below were collected from the profiles of 5 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 | 3 | 60% |
Papua New Guinea | 1 | 20% |
Unknown | 1 | 20% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 40% |
Scientists | 2 | 40% |
Science communicators (journalists, bloggers, editors) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 10 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 3 | 30% |
Researcher | 2 | 20% |
Professor | 1 | 10% |
Lecturer > Senior Lecturer | 1 | 10% |
Student > Master | 1 | 10% |
Other | 1 | 10% |
Unknown | 1 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Business, Management and Accounting | 4 | 40% |
Economics, Econometrics and Finance | 2 | 20% |
Arts and Humanities | 1 | 10% |
Social Sciences | 1 | 10% |
Design | 1 | 10% |
Other | 0 | 0% |
Unknown | 1 | 10% |