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OrthoFinder: solving fundamental biases in whole genome comparisons dramatically improves orthogroup inference accuracy

Overview of attention for article published in Genome Biology (Online Edition), August 2015
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)

Mentioned by

twitter
66 tweeters
patent
1 patent
facebook
1 Facebook page
wikipedia
4 Wikipedia pages

Citations

dimensions_citation
1810 Dimensions

Readers on

mendeley
1358 Mendeley
citeulike
3 CiteULike
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Title
OrthoFinder: solving fundamental biases in whole genome comparisons dramatically improves orthogroup inference accuracy
Published in
Genome Biology (Online Edition), August 2015
DOI 10.1186/s13059-015-0721-2
Pubmed ID
Authors

David M. Emms, Steven Kelly

Abstract

Identifying homology relationships between sequences is fundamental to biological research. Here we provide a novel orthogroup inference algorithm called OrthoFinder that solves a previously undetected gene length bias in orthogroup inference, resulting in significant improvements in accuracy. Using real benchmark datasets we demonstrate that OrthoFinder is more accurate than other orthogroup inference methods by between 8 % and 33 %. Furthermore, we demonstrate the utility of OrthoFinder by providing a complete classification of transcription factor gene families in plants revealing 6.9 million previously unobserved relationships.

Twitter Demographics

The data shown below were collected from the profiles of 66 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 1,358 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 6 <1%
United States 5 <1%
Brazil 5 <1%
Spain 3 <1%
France 3 <1%
Canada 2 <1%
Czechia 1 <1%
Sweden 1 <1%
Italy 1 <1%
Other 7 <1%
Unknown 1324 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 351 26%
Researcher 225 17%
Student > Master 199 15%
Student > Bachelor 155 11%
Student > Doctoral Student 57 4%
Other 147 11%
Unknown 224 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 553 41%
Biochemistry, Genetics and Molecular Biology 377 28%
Computer Science 43 3%
Environmental Science 22 2%
Immunology and Microbiology 19 1%
Other 74 5%
Unknown 270 20%

Attention Score in Context

This research output has an Altmetric Attention Score of 41. 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 August 2021.
All research outputs
#688,499
of 19,272,587 outputs
Outputs from Genome Biology (Online Edition)
#583
of 3,814 outputs
Outputs of similar age
#10,595
of 244,656 outputs
Outputs of similar age from Genome Biology (Online Edition)
#1
of 2 outputs
Altmetric has tracked 19,272,587 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,814 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.9. This one has done well, scoring higher than 84% 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 244,656 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 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them