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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Monitoring Wildlife-Vehicle Collisions in the Information Age: How Smartphones Can Improve Data Collection
|
|---|---|
| Published in |
PLOS ONE, June 2014
|
| DOI | 10.1371/journal.pone.0098613 |
| Pubmed ID | |
| Authors |
Daniel D. Olson, John A. Bissonette, Patricia C. Cramer, Ashley D. Green, Scott T. Davis, Patrick J. Jackson, Daniel C. Coster |
| Abstract |
Currently there is a critical need for accurate and standardized wildlife-vehicle collision data, because it is the underpinning of mitigation projects that protect both drivers and wildlife. Gathering data can be challenging because wildlife-vehicle collisions occur over broad areas, during all seasons of the year, and in large numbers. Collecting data of this magnitude requires an efficient data collection system. Presently there is no widely adopted system that is both efficient and accurate. |
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 States | 2 | 13% |
| United Kingdom | 2 | 13% |
| Australia | 2 | 13% |
| Canada | 1 | 7% |
| South Africa | 1 | 7% |
| Brazil | 1 | 7% |
| Argentina | 1 | 7% |
| Unknown | 5 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 80% |
| Scientists | 2 | 13% |
| Science communicators (journalists, bloggers, editors) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 151 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | <1% |
| Sweden | 1 | <1% |
| Canada | 1 | <1% |
| Unknown | 148 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 37 | 25% |
| Researcher | 27 | 18% |
| Student > Bachelor | 18 | 12% |
| Student > Ph. D. Student | 17 | 11% |
| Other | 9 | 6% |
| Other | 20 | 13% |
| Unknown | 23 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 51 | 34% |
| Environmental Science | 27 | 18% |
| Engineering | 12 | 8% |
| Psychology | 5 | 3% |
| Medicine and Dentistry | 4 | 3% |
| Other | 19 | 13% |
| Unknown | 33 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 79. 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 20 November 2019.
All research outputs
#477,439
of 23,577,654 outputs
Outputs from PLOS ONE
#6,797
of 202,026 outputs
Outputs of similar age
#4,547
of 229,713 outputs
Outputs of similar age from PLOS ONE
#152
of 4,354 outputs
Altmetric has tracked 23,577,654 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 202,026 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.3. This one has done particularly well, scoring higher than 96% 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 229,713 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 97% of its contemporaries.
We're also able to compare this research output to 4,354 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.