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 |
Model‐based approaches to deal with detectability: a comment on Hutto (2016a)
|
|---|---|
| Published in |
Ecological Applications, June 2017
|
| DOI | 10.1002/eap.1553 |
| Pubmed ID | |
| Authors |
Tiago A. Marques, Len Thomas, Marc Kéry, Stephen T. Buckland, David L. Borchers, Eric Rexstad, Rachel M. Fewster, Darryl I. MacKenzie, J. Andrew Royle, Gurutzeta Guillera‐Arroita, Colleen M. Handel, David C. Pavlacky, Richard J. Camp |
| Abstract |
In a recent paper, Hutto (2016a) challenges the need to account for detectability when interpreting data from point counts. A number of issues with model-based approaches to deal with detectability are presented, and an alternative suggested: surveying an area around each point over which detectability is assumed certain. The article contains a number of false claims and errors of logic, and we address these here. We provide suggestions about appropriate uses of distance sampling and occupancy modeling, arising from an intersection of design- and model-based inference. This article is protected by copyright. All rights reserved. |
X Demographics
The data shown below were collected from the profiles of 22 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 | 5 | 23% |
| United Kingdom | 3 | 14% |
| Chile | 2 | 9% |
| New Zealand | 1 | 5% |
| Spain | 1 | 5% |
| France | 1 | 5% |
| Unknown | 9 | 41% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 16 | 73% |
| Scientists | 5 | 23% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 1% |
| New Zealand | 1 | 1% |
| Brazil | 1 | 1% |
| Unknown | 79 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 20 | 24% |
| Researcher | 18 | 22% |
| Student > Master | 8 | 10% |
| Student > Bachelor | 7 | 9% |
| Other | 5 | 6% |
| Other | 10 | 12% |
| Unknown | 14 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 46 | 56% |
| Environmental Science | 14 | 17% |
| Biochemistry, Genetics and Molecular Biology | 1 | 1% |
| Mathematics | 1 | 1% |
| Computer Science | 1 | 1% |
| Other | 2 | 2% |
| Unknown | 17 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 November 2017.
All research outputs
#2,411,029
of 24,549,201 outputs
Outputs from Ecological Applications
#635
of 3,328 outputs
Outputs of similar age
#44,932
of 321,878 outputs
Outputs of similar age from Ecological Applications
#9
of 42 outputs
Altmetric has tracked 24,549,201 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,328 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.7. 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 321,878 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 86% of its contemporaries.
We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.