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X Demographics
Mendeley readers
| Title |
How can journal impact factors be normalized across fields of science? An assessment in terms of percentile ranks and fractional counts
|
|---|---|
| Published in |
Journal of the Association for Information Science and Technology, December 2012
|
| DOI | 10.1002/asi.22765 |
| Authors |
Loet Leydesdorff, Ping Zhou, Lutz Bornmann |
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 % |
|---|---|---|
| Brazil | 1 | 20% |
| Japan | 1 | 20% |
| Mexico | 1 | 20% |
| United Kingdom | 1 | 20% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 40% |
| Science communicators (journalists, bloggers, editors) | 2 | 40% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 5% |
| Mexico | 1 | 2% |
| Brazil | 1 | 2% |
| Unknown | 37 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 20% |
| Other | 7 | 17% |
| Professor | 6 | 15% |
| Librarian | 4 | 10% |
| Student > Ph. D. Student | 4 | 10% |
| Other | 7 | 17% |
| Unknown | 5 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 13 | 32% |
| Engineering | 3 | 7% |
| Business, Management and Accounting | 3 | 7% |
| Computer Science | 3 | 7% |
| Agricultural and Biological Sciences | 2 | 5% |
| Other | 6 | 15% |
| Unknown | 11 | 27% |