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 |
Predicting functional responses in agro‐ecosystems from animal movement data to improve management of invasive pests
|
|---|---|
| Published in |
Ecological Applications, November 2019
|
| DOI | 10.1002/eap.2015 |
| Pubmed ID | |
| Authors |
Mark Q. Wilber, Sarah M. Chinn, James C. Beasley, Raoul K. Boughton, Ryan K. Brook, Stephen S. Ditchkoff, Justin W. Fischer, Steve B. Hartley, Lindsey K. Holmstrom, John C. Kilgo, Jesse S. Lewis, Ryan S. Miller, Nathan P. Snow, Kurt C. VerCauteren, Samantha M. Wisely, Colleen T. Webb, Kim M. Pepin |
X Demographics
The data shown below were collected from the profiles of 8 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 | 3 | 38% |
| Japan | 1 | 13% |
| Canada | 1 | 13% |
| Unknown | 3 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 75% |
| Scientists | 2 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 62 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 15% |
| Student > Ph. D. Student | 7 | 11% |
| Student > Bachelor | 6 | 10% |
| Student > Master | 5 | 8% |
| Other | 4 | 6% |
| Other | 9 | 15% |
| Unknown | 22 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 24 | 39% |
| Environmental Science | 5 | 8% |
| Medicine and Dentistry | 2 | 3% |
| Arts and Humanities | 1 | 2% |
| Veterinary Science and Veterinary Medicine | 1 | 2% |
| Other | 3 | 5% |
| Unknown | 26 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 52. 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 18 November 2019.
All research outputs
#714,275
of 23,339,727 outputs
Outputs from Ecological Applications
#182
of 3,216 outputs
Outputs of similar age
#17,185
of 365,407 outputs
Outputs of similar age from Ecological Applications
#6
of 43 outputs
Altmetric has tracked 23,339,727 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,216 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.4. This one has done particularly well, scoring higher than 94% 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 365,407 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 43 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.