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EDGAR: A software framework for the comparative analysis of prokaryotic genomes

Overview of attention for article published in BMC Bioinformatics, May 2009
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

twitter
2 X users
patent
2 patents

Citations

dimensions_citation
360 Dimensions

Readers on

mendeley
347 Mendeley
citeulike
6 CiteULike
connotea
3 Connotea
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Title
EDGAR: A software framework for the comparative analysis of prokaryotic genomes
Published in
BMC Bioinformatics, May 2009
DOI 10.1186/1471-2105-10-154
Pubmed ID
Authors

Jochen Blom, Stefan P Albaum, Daniel Doppmeier, Alfred Pühler, Frank-Jörg Vorhölter, Martha Zakrzewski, Alexander Goesmann

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 347 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 10 3%
Brazil 6 2%
Germany 4 1%
Denmark 3 <1%
Spain 3 <1%
India 2 <1%
France 2 <1%
Finland 1 <1%
Sweden 1 <1%
Other 8 2%
Unknown 307 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 82 24%
Student > Ph. D. Student 80 23%
Student > Master 47 14%
Student > Bachelor 31 9%
Student > Doctoral Student 23 7%
Other 43 12%
Unknown 41 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 161 46%
Biochemistry, Genetics and Molecular Biology 69 20%
Computer Science 18 5%
Immunology and Microbiology 17 5%
Medicine and Dentistry 9 3%
Other 22 6%
Unknown 51 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 23 November 2023.
All research outputs
#7,538,708
of 25,837,817 outputs
Outputs from BMC Bioinformatics
#2,737
of 7,763 outputs
Outputs of similar age
#34,615
of 110,437 outputs
Outputs of similar age from BMC Bioinformatics
#14
of 38 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 7,763 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has gotten more attention than average, scoring higher than 63% 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 110,437 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.