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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Strategies for fitting nonlinear ecological models in R, AD Model Builder, and BUGS
|
|---|---|
| Published in |
Methods in Ecology and Evolution, April 2013
|
| DOI | 10.1111/2041-210x.12044 |
| Authors |
Benjamin M. Bolker, Beth Gardner, Mark Maunder, Casper W. Berg, Mollie Brooks, Liza Comita, Elizabeth Crone, Sarah Cubaynes, Trevor Davies, Perry de Valpine, Jessica Ford, Olivier Gimenez, Marc Kéry, Eun Jung Kim, Cleridy Lennert‐Cody, Arni Magnusson, Steve Martell, John Nash, Anders Nielsen, Jim Regetz, Hans Skaug, Elise Zipkin |
X Demographics
The data shown below were collected from the profiles of 28 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 | 6 | 21% |
| Spain | 4 | 14% |
| Canada | 3 | 11% |
| United Kingdom | 2 | 7% |
| Sweden | 2 | 7% |
| Mexico | 1 | 4% |
| France | 1 | 4% |
| Greece | 1 | 4% |
| Denmark | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 7 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 18 | 64% |
| Scientists | 9 | 32% |
| Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 538 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 16 | 3% |
| United Kingdom | 8 | 1% |
| Canada | 7 | 1% |
| Germany | 6 | 1% |
| France | 6 | 1% |
| Brazil | 3 | <1% |
| Denmark | 3 | <1% |
| Italy | 2 | <1% |
| New Zealand | 2 | <1% |
| Other | 21 | 4% |
| Unknown | 464 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 146 | 27% |
| Researcher | 146 | 27% |
| Student > Master | 58 | 11% |
| Other | 28 | 5% |
| Professor > Associate Professor | 26 | 5% |
| Other | 84 | 16% |
| Unknown | 50 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 277 | 51% |
| Environmental Science | 121 | 22% |
| Biochemistry, Genetics and Molecular Biology | 10 | 2% |
| Mathematics | 9 | 2% |
| Earth and Planetary Sciences | 9 | 2% |
| Other | 31 | 6% |
| Unknown | 81 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 35. 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 07 March 2022.
All research outputs
#1,153,468
of 25,374,647 outputs
Outputs from Methods in Ecology and Evolution
#467
of 2,441 outputs
Outputs of similar age
#8,722
of 208,644 outputs
Outputs of similar age from Methods in Ecology and Evolution
#2
of 25 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,441 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.2. This one has done well, scoring higher than 80% 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 208,644 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 95% of its contemporaries.
We're also able to compare this research output to 25 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 92% of its contemporaries.