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X Demographics
Mendeley readers
Title |
Machine-learning strategies for testing patterns of morphological variation in small samples: sexual dimorphism in gray wolf (Canis lupus) crania
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Published in |
BMC Biology, September 2020
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DOI | 10.1186/s12915-020-00832-1 |
Pubmed ID | |
Authors |
Norman MacLeod, Liora Kolska Horwitz |
X Demographics
The data shown below were collected from the profiles of 10 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 Kingdom | 5 | 50% |
Brazil | 1 | 10% |
Germany | 1 | 10% |
Hong Kong | 1 | 10% |
Unknown | 2 | 20% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 50% |
Scientists | 3 | 30% |
Science communicators (journalists, bloggers, editors) | 2 | 20% |
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 % |
---|---|---|
Unknown | 31 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 8 | 26% |
Student > Master | 5 | 16% |
Student > Ph. D. Student | 4 | 13% |
Other | 1 | 3% |
Student > Bachelor | 1 | 3% |
Other | 2 | 6% |
Unknown | 10 | 32% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 5 | 16% |
Earth and Planetary Sciences | 5 | 16% |
Medicine and Dentistry | 2 | 6% |
Biochemistry, Genetics and Molecular Biology | 1 | 3% |
Arts and Humanities | 1 | 3% |
Other | 2 | 6% |
Unknown | 15 | 48% |