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% |