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ChIPOTle: a user-friendly tool for the analysis of ChIP-chip data

Overview of attention for article published in Genome Biology, October 2005
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

twitter
2 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
135 Dimensions

Readers on

mendeley
96 Mendeley
citeulike
6 CiteULike
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Title
ChIPOTle: a user-friendly tool for the analysis of ChIP-chip data
Published in
Genome Biology, October 2005
DOI 10.1186/gb-2005-6-11-r97
Pubmed ID
Authors

Michael J Buck, Andrew B Nobel, Jason D Lieb

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 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 5%
Germany 4 4%
India 1 1%
Denmark 1 1%
United Kingdom 1 1%
Unknown 84 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 29 30%
Student > Ph. D. Student 22 23%
Professor > Associate Professor 16 17%
Student > Master 7 7%
Other 6 6%
Other 8 8%
Unknown 8 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 61 64%
Biochemistry, Genetics and Molecular Biology 13 14%
Computer Science 4 4%
Immunology and Microbiology 2 2%
Earth and Planetary Sciences 2 2%
Other 5 5%
Unknown 9 9%
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 17 July 2019.
All research outputs
#7,356,343
of 25,374,917 outputs
Outputs from Genome Biology
#3,306
of 4,467 outputs
Outputs of similar age
#22,652
of 70,818 outputs
Outputs of similar age from Genome Biology
#6
of 21 outputs
Altmetric has tracked 25,374,917 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 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 24th percentile – i.e., 24% 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 70,818 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 66% of its contemporaries.
We're also able to compare this research output to 21 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 71% of its contemporaries.