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 time-removal models for estimating availability of boreal birds during point count surveys: Sample size requirements and model complexity
|
|---|---|
| Published in |
Ornithological Applications, August 2018
|
| DOI | 10.1650/condor-18-32.1 |
| Authors |
Pter Slymos, Steven M. Matsuoka, Steven G. Cumming, Diana Stralberg, Patricia Fontaine, Fiona K. A. Schmiegelow, Samantha J. Song, Erin M. Bayne |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 3 | 50% |
| United Kingdom | 1 | 17% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 50% |
| Scientists | 3 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 63 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 18 | 29% |
| Student > Ph. D. Student | 9 | 14% |
| Professor | 4 | 6% |
| Student > Master | 4 | 6% |
| Student > Bachelor | 3 | 5% |
| Other | 10 | 16% |
| Unknown | 15 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 26 | 41% |
| Environmental Science | 16 | 25% |
| Business, Management and Accounting | 1 | 2% |
| Arts and Humanities | 1 | 2% |
| Psychology | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 17 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 58. 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 21 May 2020.
All research outputs
#733,553
of 25,385,509 outputs
Outputs from Ornithological Applications
#60
of 2,154 outputs
Outputs of similar age
#15,727
of 344,555 outputs
Outputs of similar age from Ornithological Applications
#2
of 16 outputs
Altmetric has tracked 25,385,509 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 2,154 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.7. This one has done particularly well, scoring higher than 97% 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 344,555 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 95% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.