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 |
Evaluating the usefulness of alignment filtering methods to reduce the impact of errors on evolutionary inferences
|
|---|---|
| Published in |
BMC Ecology and Evolution, January 2019
|
| DOI | 10.1186/s12862-019-1350-2 |
| Pubmed ID | |
| Authors |
Arnaud Di Franco, Raphaël Poujol, Denis Baurain, Hervé Philippe |
X Demographics
The data shown below were collected from the profiles of 25 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sweden | 4 | 16% |
| Germany | 4 | 16% |
| France | 3 | 12% |
| United Kingdom | 2 | 8% |
| United States | 2 | 8% |
| Czechia | 2 | 8% |
| Canada | 1 | 4% |
| Norway | 1 | 4% |
| Unknown | 6 | 24% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 20 | 80% |
| Members of the public | 5 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 130 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 130 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 30 | 23% |
| Student > Ph. D. Student | 21 | 16% |
| Student > Master | 15 | 12% |
| Professor | 7 | 5% |
| Other | 7 | 5% |
| Other | 21 | 16% |
| Unknown | 29 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 50 | 38% |
| Biochemistry, Genetics and Molecular Biology | 34 | 26% |
| Environmental Science | 3 | 2% |
| Computer Science | 3 | 2% |
| Medicine and Dentistry | 2 | 2% |
| Other | 5 | 4% |
| Unknown | 33 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 01 December 2022.
All research outputs
#2,869,218
of 25,837,817 outputs
Outputs from BMC Ecology and Evolution
#754
of 3,739 outputs
Outputs of similar age
#64,287
of 450,515 outputs
Outputs of similar age from BMC Ecology and Evolution
#27
of 93 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,739 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. 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 450,515 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 93 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 69% of its contemporaries.