| Title |
Applying evolutionary theory to human behaviour: past differences and current debates
|
|---|---|
| Published in |
Journal of Bioeconomics, September 2013
|
| DOI | 10.1007/s10818-013-9166-4 |
| Authors |
Gillian R. Brown, Peter J. Richerson |
X Demographics
The data shown below were collected from the profiles of 25 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 | 8 | 32% |
| United Kingdom | 5 | 20% |
| Brazil | 2 | 8% |
| Austria | 1 | 4% |
| Unknown | 9 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 16 | 64% |
| Scientists | 8 | 32% |
| Practitioners (doctors, other healthcare professionals) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 208 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 6 | 3% |
| United States | 4 | 2% |
| Netherlands | 2 | <1% |
| Hungary | 2 | <1% |
| Germany | 1 | <1% |
| Chile | 1 | <1% |
| Brazil | 1 | <1% |
| Portugal | 1 | <1% |
| New Zealand | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 188 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 44 | 21% |
| Student > Ph. D. Student | 37 | 18% |
| Student > Bachelor | 32 | 15% |
| Researcher | 18 | 9% |
| Student > Postgraduate | 12 | 6% |
| Other | 38 | 18% |
| Unknown | 27 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 45 | 22% |
| Psychology | 37 | 18% |
| Agricultural and Biological Sciences | 36 | 17% |
| Environmental Science | 8 | 4% |
| Business, Management and Accounting | 7 | 3% |
| Other | 44 | 21% |
| Unknown | 31 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 01 February 2024.
All research outputs
#2,273,210
of 25,784,004 outputs
Outputs from Journal of Bioeconomics
#18
of 129 outputs
Outputs of similar age
#19,140
of 209,929 outputs
Outputs of similar age from Journal of Bioeconomics
#1
of 2 outputs
Altmetric has tracked 25,784,004 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 129 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.3. This one has done well, scoring higher than 86% 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 209,929 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 90% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them