You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Evaluating the predictive abilities of community occupancy models using AUC while accounting for imperfect detection
|
|---|---|
| Published in |
Ecological Applications, October 2012
|
| DOI | 10.1890/11-1936.1 |
| Pubmed ID | |
| Authors |
Elise F. Zipkin, Evan H. Campbell Grant, William F. Fagan |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 266 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 15 | 6% |
| Brazil | 4 | 2% |
| Canada | 3 | 1% |
| Portugal | 2 | <1% |
| Spain | 2 | <1% |
| India | 1 | <1% |
| Costa Rica | 1 | <1% |
| Italy | 1 | <1% |
| Finland | 1 | <1% |
| Other | 2 | <1% |
| Unknown | 234 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 69 | 26% |
| Researcher | 64 | 24% |
| Student > Master | 39 | 15% |
| Student > Doctoral Student | 13 | 5% |
| Student > Bachelor | 13 | 5% |
| Other | 40 | 15% |
| Unknown | 28 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 132 | 50% |
| Environmental Science | 73 | 27% |
| Earth and Planetary Sciences | 6 | 2% |
| Biochemistry, Genetics and Molecular Biology | 3 | 1% |
| Mathematics | 2 | <1% |
| Other | 9 | 3% |
| Unknown | 41 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 12 August 2015.
All research outputs
#17,467,675
of 25,623,883 outputs
Outputs from Ecological Applications
#2,917
of 3,350 outputs
Outputs of similar age
#126,215
of 191,513 outputs
Outputs of similar age from Ecological Applications
#14
of 19 outputs
Altmetric has tracked 25,623,883 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,350 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.5. This one is in the 7th percentile – i.e., 7% 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 191,513 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.