| Title |
Simulating animal movements to predict wildlife-vehicle collisions: illustrating an application of the novel R package SiMRiv
|
|---|---|
| Published in |
European Journal of Wildlife Research, December 2019
|
| DOI | 10.1007/s10344-019-1333-z |
| Authors |
Lorenzo Quaglietta, Miguel Porto, Adam T. Ford |
X Demographics
The data shown below were collected from the profiles of 22 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 | 5 | 23% |
| France | 2 | 9% |
| Spain | 1 | 5% |
| South Africa | 1 | 5% |
| Brazil | 1 | 5% |
| United Kingdom | 1 | 5% |
| India | 1 | 5% |
| Portugal | 1 | 5% |
| Unknown | 9 | 41% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 15 | 68% |
| Scientists | 6 | 27% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 79 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 16 | 20% |
| Student > Ph. D. Student | 13 | 16% |
| Student > Master | 13 | 16% |
| Student > Bachelor | 6 | 8% |
| Student > Doctoral Student | 5 | 6% |
| Other | 6 | 8% |
| Unknown | 20 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 32 | 41% |
| Environmental Science | 17 | 22% |
| Biochemistry, Genetics and Molecular Biology | 1 | 1% |
| Business, Management and Accounting | 1 | 1% |
| Veterinary Science and Veterinary Medicine | 1 | 1% |
| Other | 4 | 5% |
| Unknown | 23 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 15 April 2020.
All research outputs
#2,528,241
of 25,301,208 outputs
Outputs from European Journal of Wildlife Research
#110
of 1,029 outputs
Outputs of similar age
#57,621
of 473,885 outputs
Outputs of similar age from European Journal of Wildlife Research
#5
of 33 outputs
Altmetric has tracked 25,301,208 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,029 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one has done well, scoring higher than 89% 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 473,885 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 87% of its contemporaries.
We're also able to compare this research output to 33 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.