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X Demographics
Mendeley readers
| Title |
LABKIT: Labeling and Segmentation Toolkit for Big Image Data
|
|---|---|
| Published in |
Frontiers in Computer Science, February 2022
|
| DOI | 10.3389/fcomp.2022.777728 |
| Authors |
Matthias Arzt, Joran Deschamps, Christopher Schmied, Tobias Pietzsch, Deborah Schmidt, Pavel Tomancak, Robert Haase, Florian Jug |
X Demographics
The data shown below were collected from the profiles of 86 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 | 12 | 14% |
| Germany | 8 | 9% |
| France | 6 | 7% |
| United Kingdom | 6 | 7% |
| Switzerland | 4 | 5% |
| Italy | 3 | 3% |
| Australia | 2 | 2% |
| Austria | 2 | 2% |
| Portugal | 1 | 1% |
| Other | 8 | 9% |
| Unknown | 34 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 51 | 59% |
| Scientists | 33 | 38% |
| Practitioners (doctors, other healthcare professionals) | 1 | 1% |
| Science communicators (journalists, bloggers, editors) | 1 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 145 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 145 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 21 | 14% |
| Student > Ph. D. Student | 18 | 12% |
| Student > Master | 11 | 8% |
| Student > Bachelor | 9 | 6% |
| Student > Doctoral Student | 9 | 6% |
| Other | 17 | 12% |
| Unknown | 60 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 20 | 14% |
| Agricultural and Biological Sciences | 12 | 8% |
| Neuroscience | 11 | 8% |
| Engineering | 8 | 6% |
| Computer Science | 4 | 3% |
| Other | 22 | 15% |
| Unknown | 68 | 47% |