| Title |
Bayesian Methods for Estimating Animal Abundance at Large Spatial Scales Using Data from Multiple Sources
|
|---|---|
| Published in |
Journal of Agricultural, Biological and Environmental Statistics, March 2017
|
| DOI | 10.1007/s13253-017-0276-7 |
| Authors |
Soumen Dey, Mohan Delampady, Ravishankar Parameshwaran, N. Samba Kumar, Arjun Srivathsa, K. Ullas Karanth |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Norway | 1 | 14% |
| France | 1 | 14% |
| Unknown | 5 | 71% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 5 | 71% |
| Members of the public | 2 | 29% |
Mendeley readers
The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 1% |
| Unknown | 85 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 19 | 22% |
| Student > Ph. D. Student | 19 | 22% |
| Student > Master | 12 | 14% |
| Student > Doctoral Student | 7 | 8% |
| Other | 6 | 7% |
| Other | 9 | 10% |
| Unknown | 14 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 40 | 47% |
| Environmental Science | 22 | 26% |
| Mathematics | 2 | 2% |
| Nursing and Health Professions | 2 | 2% |
| Biochemistry, Genetics and Molecular Biology | 1 | 1% |
| Other | 2 | 2% |
| Unknown | 17 | 20% |
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 06 April 2022.
All research outputs
#503,995
of 24,294,745 outputs
Outputs from Journal of Agricultural, Biological and Environmental Statistics
#2
of 173 outputs
Outputs of similar age
#11,096
of 312,379 outputs
Outputs of similar age from Journal of Agricultural, Biological and Environmental Statistics
#2
of 2 outputs
Altmetric has tracked 24,294,745 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 173 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one has done particularly well, scoring higher than 99% 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 312,379 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 96% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.