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 |
BatTool: an R package with GUI for assessing the effect of White-nose syndrome and other take events on Myotis spp. of bats
|
|---|---|
| Published in |
Source Code for Biology and Medicine, May 2014
|
| DOI | 10.1186/1751-0473-9-9 |
| Pubmed ID | |
| Authors |
Richard A Erickson, Wayne E Thogmartin, Jennifer A Szymanski |
| Abstract |
Myotis species of bats such as the Indiana Bat and Little Brown Bat are facing population declines because of White-nose syndrome (WNS). These species also face threats from anthropogenic activities such as wind energy development. Population models may be used to provide insights into threats facing these species. We developed a population model, BatTool, as an R package to help decision makers and natural resource managers examine factors influencing the dynamics of these species. The R package includes two components: 1) a deterministic and stochastic model that are accessible from the command line and 2) a graphical user interface (GUI). |
X Demographics
The data shown below were collected from the profiles of 2 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 | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 6% |
| Portugal | 1 | 3% |
| Unknown | 33 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 33% |
| Other | 7 | 19% |
| Student > Master | 4 | 11% |
| Professor > Associate Professor | 2 | 6% |
| Student > Ph. D. Student | 2 | 6% |
| Other | 3 | 8% |
| Unknown | 6 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 14 | 39% |
| Environmental Science | 9 | 25% |
| Mathematics | 1 | 3% |
| Computer Science | 1 | 3% |
| Immunology and Microbiology | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 7 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 09 May 2014.
All research outputs
#17,655,675
of 22,663,150 outputs
Outputs from Source Code for Biology and Medicine
#96
of 127 outputs
Outputs of similar age
#156,435
of 227,318 outputs
Outputs of similar age from Source Code for Biology and Medicine
#7
of 8 outputs
Altmetric has tracked 22,663,150 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 127 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one is in the 20th percentile – i.e., 20% of its peers scored the same or lower than it.
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 227,318 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one.