↓ Skip to main content

Article

Overview of attention for article published in BMC Bioinformatics, January 2003
Altmetric Badge

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 (88th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

twitter
3 tweeters
patent
1 patent
wikipedia
2 Wikipedia pages
f1000
1 research highlight platform

Citations

dimensions_citation
3017 Dimensions

Readers on

mendeley
1330 Mendeley
citeulike
28 CiteULike
connotea
13 Connotea
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.
Title
Published in
BMC Bioinformatics, January 2003
DOI 10.1186/1471-2105-4-41
Pubmed ID
Authors

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

Abstract

The availability of multiple, essentially complete genome sequences of prokaryotes and eukaryotes spurred both the demand and the opportunity for the construction of an evolutionary classification of genes from these genomes. Such a classification system based on orthologous relationships between genes appears to be a natural framework for comparative genomics and should facilitate both functional annotation of genomes and large-scale evolutionary studies.

Twitter Demographics

The data shown below were collected from the profiles of 3 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 1,330 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 39 3%
Germany 16 1%
Brazil 14 1%
Spain 13 <1%
United Kingdom 8 <1%
Sweden 8 <1%
Japan 7 <1%
Canada 5 <1%
Australia 5 <1%
Other 56 4%
Unknown 1159 87%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 384 29%
Researcher 313 24%
Student > Master 158 12%
Student > Bachelor 94 7%
Professor > Associate Professor 77 6%
Other 225 17%
Unknown 79 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 795 60%
Biochemistry, Genetics and Molecular Biology 201 15%
Computer Science 73 5%
Environmental Science 39 3%
Medicine and Dentistry 17 1%
Other 87 7%
Unknown 118 9%

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 11 April 2016.
All research outputs
#1,415,859
of 12,373,386 outputs
Outputs from BMC Bioinformatics
#608
of 4,576 outputs
Outputs of similar age
#1,373,346
of 11,793,653 outputs
Outputs of similar age from BMC Bioinformatics
#608
of 4,576 outputs
Altmetric has tracked 12,373,386 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 4,576 research outputs from this source. They receive a mean Attention Score of 4.9. 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 11,793,653 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 88% of its contemporaries.
We're also able to compare this research output to 4,576 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.