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 |
Incomplete bioinformatic filtering and inadequate age and growth analysis lead to an incorrect inference of harvested‐induced changes
|
|---|---|
| Published in |
Evolutionary Applications, September 2020
|
| DOI | 10.1111/eva.13122 |
| Pubmed ID | |
| Authors |
Wesley A. Larson, Daniel A. Isermann, Zachary S. Feiner |
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 Kingdom | 4 | 14% |
| United States | 3 | 11% |
| Ireland | 1 | 4% |
| India | 1 | 4% |
| Germany | 1 | 4% |
| Canada | 1 | 4% |
| New Zealand | 1 | 4% |
| Switzerland | 1 | 4% |
| Unknown | 15 | 54% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 18 | 64% |
| Members of the public | 9 | 32% |
| Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 27 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 19% |
| Student > Bachelor | 4 | 15% |
| Researcher | 4 | 15% |
| Student > Ph. D. Student | 4 | 15% |
| Student > Doctoral Student | 3 | 11% |
| Other | 2 | 7% |
| Unknown | 5 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 13 | 48% |
| Environmental Science | 3 | 11% |
| Biochemistry, Genetics and Molecular Biology | 3 | 11% |
| Arts and Humanities | 1 | 4% |
| Computer Science | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 5 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 March 2021.
All research outputs
#2,430,040
of 25,387,668 outputs
Outputs from Evolutionary Applications
#326
of 1,579 outputs
Outputs of similar age
#63,782
of 426,805 outputs
Outputs of similar age from Evolutionary Applications
#14
of 49 outputs
Altmetric has tracked 25,387,668 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 1,579 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.6. This one has done well, scoring higher than 79% 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 426,805 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 85% 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 71% of its contemporaries.