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X Demographics
Mendeley readers
Attention Score in Context
| Title |
On using integral projection models to generate demographically driven predictions of species' distributions: development and validation using sparse data
|
|---|---|
| Published in |
Ecography, July 2014
|
| DOI | 10.1111/ecog.00839 |
| Authors |
Cory Merow, Andrew M. Latimer, Adam M. Wilson, Sean M. McMahon, Anthony G. Rebelo, John A. Silander |
X Demographics
The data shown below were collected from the profiles of 14 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 | 3 | 21% |
| Spain | 2 | 14% |
| Belgium | 1 | 7% |
| Ireland | 1 | 7% |
| Canada | 1 | 7% |
| Unknown | 6 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 7 | 50% |
| Members of the public | 6 | 43% |
| Science communicators (journalists, bloggers, editors) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 292 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 1% |
| Germany | 3 | 1% |
| Switzerland | 3 | 1% |
| Portugal | 1 | <1% |
| Australia | 1 | <1% |
| Brazil | 1 | <1% |
| South Africa | 1 | <1% |
| France | 1 | <1% |
| Canada | 1 | <1% |
| Other | 3 | 1% |
| Unknown | 273 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 70 | 24% |
| Researcher | 63 | 22% |
| Student > Master | 39 | 13% |
| Student > Bachelor | 26 | 9% |
| Professor > Associate Professor | 15 | 5% |
| Other | 49 | 17% |
| Unknown | 30 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 156 | 53% |
| Environmental Science | 75 | 26% |
| Earth and Planetary Sciences | 3 | 1% |
| Computer Science | 2 | <1% |
| Philosophy | 2 | <1% |
| Other | 13 | 4% |
| Unknown | 41 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 17 August 2023.
All research outputs
#4,926,927
of 25,726,194 outputs
Outputs from Ecography
#1,151
of 2,272 outputs
Outputs of similar age
#44,751
of 240,531 outputs
Outputs of similar age from Ecography
#9
of 27 outputs
Altmetric has tracked 25,726,194 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,272 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.8. This one is in the 49th percentile – i.e., 49% of its peers scored the same or lower than it.
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 240,531 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 80% of its contemporaries.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.