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EpiGRAPH: user-friendly software for statistical analysis and prediction of (epi)genomic data

Overview of attention for article published in Genome Biology, February 2009
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

patent
5 patents

Citations

dimensions_citation
49 Dimensions

Readers on

mendeley
122 Mendeley
citeulike
12 CiteULike
connotea
2 Connotea
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Title
EpiGRAPH: user-friendly software for statistical analysis and prediction of (epi)genomic data
Published in
Genome Biology, February 2009
DOI 10.1186/gb-2009-10-2-r14
Pubmed ID
Authors

Christoph Bock, Konstantin Halachev, Joachim Büch, Thomas Lengauer

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 122 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 5%
United Kingdom 3 2%
Germany 2 2%
Canada 2 2%
Portugal 1 <1%
India 1 <1%
Finland 1 <1%
Switzerland 1 <1%
Singapore 1 <1%
Other 3 2%
Unknown 101 83%

Demographic breakdown

Readers by professional status Count As %
Researcher 31 25%
Student > Ph. D. Student 30 25%
Professor > Associate Professor 14 11%
Student > Master 14 11%
Professor 7 6%
Other 19 16%
Unknown 7 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 71 58%
Biochemistry, Genetics and Molecular Biology 17 14%
Computer Science 14 11%
Medicine and Dentistry 8 7%
Engineering 4 3%
Other 2 2%
Unknown 6 5%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 18 April 2023.
All research outputs
#5,446,210
of 25,373,627 outputs
Outputs from Genome Biology
#2,945
of 4,467 outputs
Outputs of similar age
#29,911
of 188,868 outputs
Outputs of similar age from Genome Biology
#6
of 24 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 75th 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 32nd percentile – i.e., 32% 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 188,868 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 78% of its contemporaries.
We're also able to compare this research output to 24 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 66% of its contemporaries.