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A comprehensive evolutionary classification of proteins encoded in complete eukaryotic genomes

Overview of attention for article published in Genome Biology, January 2004
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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 (89th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Citations

dimensions_citation
828 Dimensions

Readers on

mendeley
480 Mendeley
citeulike
6 CiteULike
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Title
A comprehensive evolutionary classification of proteins encoded in complete eukaryotic genomes
Published in
Genome Biology, January 2004
DOI 10.1186/gb-2004-5-2-r7
Pubmed ID
Authors

Eugene V Koonin, Natalie D Fedorova, John D Jackson, Aviva R Jacobs, Dmitri M Krylov, Kira S Makarova, Raja Mazumder, Sergei L Mekhedov, Anastasia N Nikolskaya, B Sridhar Rao, Igor B Rogozin, Sergei Smirnov, Alexander V Sorokin, Alexander V Sverdlov, Sona Vasudevan, Yuri I Wolf, Jodie J Yin, Darren A Natale

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 480 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 13 3%
United Kingdom 9 2%
Germany 8 2%
Spain 7 1%
Japan 4 <1%
Brazil 4 <1%
France 3 <1%
Portugal 3 <1%
Netherlands 2 <1%
Other 23 5%
Unknown 404 84%

Demographic breakdown

Readers by professional status Count As %
Researcher 135 28%
Student > Ph. D. Student 102 21%
Student > Master 45 9%
Student > Bachelor 40 8%
Professor > Associate Professor 29 6%
Other 80 17%
Unknown 49 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 255 53%
Biochemistry, Genetics and Molecular Biology 90 19%
Computer Science 18 4%
Medicine and Dentistry 10 2%
Engineering 8 2%
Other 37 8%
Unknown 62 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 08 January 2021.
All research outputs
#4,369,982
of 25,374,647 outputs
Outputs from Genome Biology
#2,690
of 4,467 outputs
Outputs of similar age
#14,387
of 146,204 outputs
Outputs of similar age from Genome Biology
#4
of 19 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 39th percentile – i.e., 39% of its peers scored the same or lower than it.
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 146,204 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 89% of its contemporaries.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.