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Resolving the Ortholog Conjecture: Orthologs Tend to Be Weakly, but Significantly, More Similar in Function than Paralogs

Overview of attention for article published in PLoS Computational Biology, May 2012
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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 (97th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
30 X users
facebook
1 Facebook page
wikipedia
4 Wikipedia pages
googleplus
1 Google+ user
reddit
1 Redditor

Readers on

mendeley
324 Mendeley
citeulike
26 CiteULike
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Title
Resolving the Ortholog Conjecture: Orthologs Tend to Be Weakly, but Significantly, More Similar in Function than Paralogs
Published in
PLoS Computational Biology, May 2012
DOI 10.1371/journal.pcbi.1002514
Pubmed ID
Authors

Adrian M. Altenhoff, Romain A. Studer, Marc Robinson-Rechavi, Christophe Dessimoz

Abstract

The function of most proteins is not determined experimentally, but is extrapolated from homologs. According to the "ortholog conjecture", or standard model of phylogenomics, protein function changes rapidly after duplication, leading to paralogs with different functions, while orthologs retain the ancestral function. We report here that a comparison of experimentally supported functional annotations among homologs from 13 genomes mostly supports this model. We show that to analyze GO annotation effectively, several confounding factors need to be controlled: authorship bias, variation of GO term frequency among species, variation of background similarity among species pairs, and propagated annotation bias. After controlling for these biases, we observe that orthologs have generally more similar functional annotations than paralogs. This is especially strong for sub-cellular localization. We observe only a weak decrease in functional similarity with increasing sequence divergence. These findings hold over a large diversity of species; notably orthologs from model organisms such as E. coli, yeast or mouse have conserved function with human proteins.

X Demographics

X Demographics

The data shown below were collected from the profiles of 30 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 324 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 14 4%
Germany 4 1%
Brazil 4 1%
Sweden 4 1%
Netherlands 2 <1%
Poland 2 <1%
Switzerland 2 <1%
United Kingdom 2 <1%
Canada 2 <1%
Other 5 2%
Unknown 283 87%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 95 29%
Researcher 57 18%
Student > Bachelor 39 12%
Student > Master 38 12%
Professor 23 7%
Other 40 12%
Unknown 32 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 169 52%
Biochemistry, Genetics and Molecular Biology 76 23%
Computer Science 20 6%
Chemistry 5 2%
Medicine and Dentistry 5 2%
Other 14 4%
Unknown 35 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 40. 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 10 March 2024.
All research outputs
#1,038,075
of 25,769,258 outputs
Outputs from PLoS Computational Biology
#812
of 9,025 outputs
Outputs of similar age
#5,294
of 178,446 outputs
Outputs of similar age from PLoS Computational Biology
#7
of 108 outputs
Altmetric has tracked 25,769,258 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 9,025 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one has done particularly well, scoring higher than 91% 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 178,446 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 97% of its contemporaries.
We're also able to compare this research output to 108 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.