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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Solving conservation planning problems with integer linear programming
|
|---|---|
| Published in |
Ecological Modelling, May 2016
|
| DOI | 10.1016/j.ecolmodel.2016.02.005 |
| Authors |
Hawthorne L. Beyer, Yann Dujardin, Matthew E. Watts, Hugh P. Possingham |
X Demographics
The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 5 | 42% |
| Finland | 1 | 8% |
| Norway | 1 | 8% |
| Curaçao | 1 | 8% |
| United Kingdom | 1 | 8% |
| Italy | 1 | 8% |
| Spain | 1 | 8% |
| Unknown | 1 | 8% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 67% |
| Scientists | 4 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 300 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 2 | <1% |
| Canada | 2 | <1% |
| Brazil | 2 | <1% |
| Italy | 1 | <1% |
| Finland | 1 | <1% |
| Estonia | 1 | <1% |
| Unknown | 291 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 73 | 24% |
| Student > Master | 54 | 18% |
| Researcher | 48 | 16% |
| Other | 16 | 5% |
| Student > Bachelor | 14 | 5% |
| Other | 42 | 14% |
| Unknown | 53 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 111 | 37% |
| Agricultural and Biological Sciences | 64 | 21% |
| Engineering | 12 | 4% |
| Earth and Planetary Sciences | 10 | 3% |
| Social Sciences | 5 | 2% |
| Other | 21 | 7% |
| Unknown | 77 | 26% |
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 20 February 2023.
All research outputs
#5,240,498
of 25,374,647 outputs
Outputs from Ecological Modelling
#361
of 2,342 outputs
Outputs of similar age
#76,370
of 311,864 outputs
Outputs of similar age from Ecological Modelling
#4
of 34 outputs
Altmetric has tracked 25,374,647 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 2,342 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done well, scoring higher than 84% 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 311,864 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 75% of its contemporaries.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.