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X Demographics
Mendeley readers
Attention Score in Context
| Title |
What can ecosystems learn? Expanding evolutionary ecology with learning theory
|
|---|---|
| Published in |
Biology Direct, December 2015
|
| DOI | 10.1186/s13062-015-0094-1 |
| Pubmed ID | |
| Authors |
Daniel A. Power, Richard A. Watson, Eörs Szathmáry, Rob Mills, Simon T. Powers, C. Patrick Doncaster, BłaŻej Czapp |
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 | 2 | 20% |
| United States | 2 | 20% |
| Spain | 1 | 10% |
| Germany | 1 | 10% |
| Unknown | 4 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 60% |
| Scientists | 4 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 140 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 3% |
| New Zealand | 1 | <1% |
| Sweden | 1 | <1% |
| Unknown | 134 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 32 | 23% |
| Researcher | 30 | 21% |
| Student > Master | 17 | 12% |
| Student > Bachelor | 10 | 7% |
| Professor | 9 | 6% |
| Other | 19 | 14% |
| Unknown | 23 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 43 | 31% |
| Environmental Science | 18 | 13% |
| Computer Science | 11 | 8% |
| Biochemistry, Genetics and Molecular Biology | 7 | 5% |
| Psychology | 6 | 4% |
| Other | 26 | 19% |
| Unknown | 29 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 10 March 2024.
All research outputs
#6,256,412
of 25,037,495 outputs
Outputs from Biology Direct
#203
of 530 outputs
Outputs of similar age
#90,578
of 400,656 outputs
Outputs of similar age from Biology Direct
#4
of 15 outputs
Altmetric has tracked 25,037,495 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 530 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 gotten more attention than average, scoring higher than 61% 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 400,656 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.