| Title |
Measuring the complexity of social associations using mixture models
|
|---|---|
| Published in |
Behavioral Ecology and Sociobiology, January 2019
|
| DOI | 10.1007/s00265-018-2603-6 |
| Authors |
Michael N. Weiss, Daniel W. Franks, Darren P. Croft, Hal Whitehead |
X Demographics
The data shown below were collected from the profiles of 105 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 | 30 | 29% |
| United States | 8 | 8% |
| Australia | 4 | 4% |
| Germany | 3 | 3% |
| France | 3 | 3% |
| Canada | 3 | 3% |
| Hong Kong | 2 | 2% |
| Uganda | 1 | <1% |
| Denmark | 1 | <1% |
| Other | 5 | 5% |
| Unknown | 45 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 49 | 47% |
| Scientists | 48 | 46% |
| Science communicators (journalists, bloggers, editors) | 7 | 7% |
| Practitioners (doctors, other healthcare professionals) | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 148 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 148 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 45 | 30% |
| Student > Master | 21 | 14% |
| Student > Bachelor | 16 | 11% |
| Researcher | 15 | 10% |
| Student > Doctoral Student | 9 | 6% |
| Other | 18 | 12% |
| Unknown | 24 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 73 | 49% |
| Environmental Science | 12 | 8% |
| Psychology | 8 | 5% |
| Social Sciences | 6 | 4% |
| Biochemistry, Genetics and Molecular Biology | 3 | 2% |
| Other | 11 | 7% |
| Unknown | 35 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 69. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 April 2021.
All research outputs
#633,276
of 25,748,735 outputs
Outputs from Behavioral Ecology and Sociobiology
#83
of 3,318 outputs
Outputs of similar age
#14,487
of 449,658 outputs
Outputs of similar age from Behavioral Ecology and Sociobiology
#4
of 48 outputs
Altmetric has tracked 25,748,735 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,318 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.4. This one has done particularly well, scoring higher than 97% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 449,658 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 48 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.