| Title |
Standards for distribution models in biodiversity assessments
|
|---|---|
| Published in |
Science Advances, January 2019
|
| DOI | 10.1126/sciadv.aat4858 |
| Pubmed ID | |
| Authors |
Miguel B. Araújo, Robert P. Anderson, A. Márcia Barbosa, Colin M. Beale, Carsten F. Dormann, Regan Early, Raquel A. Garcia, Antoine Guisan, Luigi Maiorano, Babak Naimi, Robert B. O’Hara, Niklaus E. Zimmermann, Carsten Rahbek |
X Demographics
The data shown below were collected from the profiles of 136 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 | 17 | 13% |
| Spain | 13 | 10% |
| Switzerland | 8 | 6% |
| United Kingdom | 6 | 4% |
| Brazil | 4 | 3% |
| Canada | 4 | 3% |
| Portugal | 4 | 3% |
| Italy | 4 | 3% |
| Norway | 3 | 2% |
| Other | 34 | 25% |
| Unknown | 39 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 69 | 51% |
| Scientists | 63 | 46% |
| Science communicators (journalists, bloggers, editors) | 4 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 1,377 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1377 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 236 | 17% |
| Student > Ph. D. Student | 234 | 17% |
| Student > Master | 198 | 14% |
| Student > Bachelor | 103 | 7% |
| Student > Doctoral Student | 62 | 5% |
| Other | 219 | 16% |
| Unknown | 325 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 459 | 33% |
| Environmental Science | 324 | 24% |
| Earth and Planetary Sciences | 46 | 3% |
| Biochemistry, Genetics and Molecular Biology | 40 | 3% |
| Engineering | 18 | 1% |
| Other | 97 | 7% |
| Unknown | 393 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 105. 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 22 June 2023.
All research outputs
#408,442
of 26,017,215 outputs
Outputs from Science Advances
#3,032
of 12,469 outputs
Outputs of similar age
#9,163
of 453,054 outputs
Outputs of similar age from Science Advances
#63
of 240 outputs
Altmetric has tracked 26,017,215 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 12,469 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 119.7. This one has done well, scoring higher than 75% 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 453,054 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 97% of its contemporaries.
We're also able to compare this research output to 240 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 73% of its contemporaries.