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 |
A Bayesian Dirichlet process community occupancy model to estimate community structure and species similarity
|
|---|---|
| Published in |
Ecological Applications, January 2021
|
| DOI | 10.1002/eap.2249 |
| Pubmed ID | |
| Authors |
Rahel Sollmann, Mitchell Joseph Eaton, William A. Link, Paul Mulondo, Samuel Ayebare, Sarah Prinsloo, Andrew J. Plumptre, Devin S. Johnson |
X Demographics
The data shown below were collected from the profiles of 6 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 | 3 | 50% |
| Germany | 2 | 33% |
| Unknown | 1 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 17% |
| Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 24 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 33% |
| Student > Ph. D. Student | 5 | 21% |
| Student > Bachelor | 2 | 8% |
| Professor > Associate Professor | 2 | 8% |
| Student > Master | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 4 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 9 | 38% |
| Environmental Science | 5 | 21% |
| Biochemistry, Genetics and Molecular Biology | 1 | 4% |
| Mathematics | 1 | 4% |
| Decision Sciences | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 7 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 05 August 2021.
All research outputs
#3,010,117
of 23,299,593 outputs
Outputs from Ecological Applications
#795
of 3,211 outputs
Outputs of similar age
#84,618
of 503,582 outputs
Outputs of similar age from Ecological Applications
#18
of 49 outputs
Altmetric has tracked 23,299,593 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,211 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.4. This one has done well, scoring higher than 75% 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 503,582 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 83% of its contemporaries.
We're also able to compare this research output to 49 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.