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 |
How will predicted land‐use change affect waterfowl spring stopover ecology? Inferences from an individual‐based model
|
|---|---|
| Published in |
Journal of Applied Ecology, October 2016
|
| DOI | 10.1111/1365-2664.12788 |
| Authors |
William S. Beatty, Dylan C. Kesler, Elisabeth B. Webb, Luke W. Naylor, Andrew H. Raedeke, Dale D. Humburg, John M. Coluccy, Gregory J. Soulliere |
X Demographics
The data shown below were collected from the profiles of 15 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 Kingdom | 5 | 33% |
| Germany | 1 | 7% |
| Venezuela, Bolivarian Republic of | 1 | 7% |
| Netherlands | 1 | 7% |
| Canada | 1 | 7% |
| Japan | 1 | 7% |
| Spain | 1 | 7% |
| Australia | 1 | 7% |
| Unknown | 3 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 67% |
| Scientists | 3 | 20% |
| Science communicators (journalists, bloggers, editors) | 1 | 7% |
| Practitioners (doctors, other healthcare professionals) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| United Kingdom | 1 | 1% |
| Germany | 1 | 1% |
| Canada | 1 | 1% |
| Unknown | 88 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 19% |
| Student > Master | 17 | 18% |
| Researcher | 16 | 17% |
| Student > Bachelor | 5 | 5% |
| Professor > Associate Professor | 4 | 4% |
| Other | 10 | 11% |
| Unknown | 23 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 35 | 38% |
| Environmental Science | 18 | 19% |
| Veterinary Science and Veterinary Medicine | 2 | 2% |
| Business, Management and Accounting | 2 | 2% |
| Psychology | 2 | 2% |
| Other | 7 | 8% |
| Unknown | 27 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 14 October 2016.
All research outputs
#3,239,835
of 24,458,924 outputs
Outputs from Journal of Applied Ecology
#1,720
of 3,898 outputs
Outputs of similar age
#53,727
of 325,569 outputs
Outputs of similar age from Journal of Applied Ecology
#43
of 60 outputs
Altmetric has tracked 24,458,924 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,898 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.0. This one has gotten more attention than average, scoring higher than 55% 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 325,569 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 83% of its contemporaries.
We're also able to compare this research output to 60 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.