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Evaluating the usefulness of alignment filtering methods to reduce the impact of errors on evolutionary inferences

Overview of attention for article published in BMC Evolutionary Biology, January 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

twitter
26 tweeters

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
43 Mendeley
Title
Evaluating the usefulness of alignment filtering methods to reduce the impact of errors on evolutionary inferences
Published in
BMC Evolutionary Biology, January 2019
DOI 10.1186/s12862-019-1350-2
Pubmed ID
Authors

Arnaud Di Franco, Raphaël Poujol, Denis Baurain, Hervé Philippe

Twitter Demographics

The data shown below were collected from the profiles of 26 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 43 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 26%
Student > Master 7 16%
Student > Ph. D. Student 6 14%
Professor 5 12%
Unspecified 4 9%
Other 10 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 25 58%
Biochemistry, Genetics and Molecular Biology 8 19%
Unspecified 8 19%
Computer Science 1 2%
Earth and Planetary Sciences 1 2%
Other 0 0%

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 16 January 2019.
All research outputs
#979,276
of 13,226,211 outputs
Outputs from BMC Evolutionary Biology
#341
of 2,470 outputs
Outputs of similar age
#42,357
of 325,490 outputs
Outputs of similar age from BMC Evolutionary Biology
#37
of 199 outputs
Altmetric has tracked 13,226,211 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,470 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.1. This one has done well, scoring higher than 86% 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 325,490 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 199 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.