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Mendeley readers
| Chapter title |
Community Detection and Visualization of Networks with the Map Equation Framework
|
|---|---|
| Chapter number | 1 |
| Book title |
Measuring Scholarly Impact
|
| Published by |
Springer, Cham, January 2014
|
| DOI | 10.1007/978-3-319-10377-8_1 |
| Book ISBNs |
978-3-31-910376-1, 978-3-31-910377-8
|
| Authors |
Ludvig Bohlin, Daniel Edler, Andrea Lancichinetti, Martin Rosvall, Bohlin, Ludvig, Edler, Daniel, Lancichinetti, Andrea, Rosvall, Martin |
Mendeley readers
The data shown below were compiled from readership statistics for 211 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 2% |
| Malaysia | 1 | <1% |
| Iran, Islamic Republic of | 1 | <1% |
| Belgium | 1 | <1% |
| Sri Lanka | 1 | <1% |
| Japan | 1 | <1% |
| Denmark | 1 | <1% |
| Unknown | 201 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 58 | 27% |
| Student > Master | 30 | 14% |
| Researcher | 27 | 13% |
| Student > Doctoral Student | 14 | 7% |
| Other | 13 | 6% |
| Other | 40 | 19% |
| Unknown | 29 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 54 | 26% |
| Agricultural and Biological Sciences | 27 | 13% |
| Physics and Astronomy | 14 | 7% |
| Social Sciences | 11 | 5% |
| Engineering | 10 | 5% |
| Other | 56 | 27% |
| Unknown | 39 | 18% |