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Predicting transcription factor activities from combined analysis of microarray and ChIP data: a partial least squares approach

Overview of attention for article published in Theoretical Biology and Medical Modelling, June 2005
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (65th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

twitter
1 X user
patent
1 patent

Readers on

mendeley
82 Mendeley
citeulike
1 CiteULike
connotea
2 Connotea
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Title
Predicting transcription factor activities from combined analysis of microarray and ChIP data: a partial least squares approach
Published in
Theoretical Biology and Medical Modelling, June 2005
DOI 10.1186/1742-4682-2-23
Pubmed ID
Authors

Anne-Laure Boulesteix, Korbinian Strimmer

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 5%
United Kingdom 3 4%
Hong Kong 1 1%
Germany 1 1%
Netherlands 1 1%
Sweden 1 1%
Unknown 71 87%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 28 34%
Researcher 18 22%
Student > Master 11 13%
Professor > Associate Professor 5 6%
Professor 4 5%
Other 13 16%
Unknown 3 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 37 45%
Computer Science 13 16%
Biochemistry, Genetics and Molecular Biology 12 15%
Mathematics 4 5%
Engineering 4 5%
Other 7 9%
Unknown 5 6%
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 10 May 2022.
All research outputs
#7,033,208
of 23,020,670 outputs
Outputs from Theoretical Biology and Medical Modelling
#89
of 287 outputs
Outputs of similar age
#19,280
of 57,097 outputs
Outputs of similar age from Theoretical Biology and Medical Modelling
#1
of 6 outputs
Altmetric has tracked 23,020,670 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 287 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one has gotten more attention than average, scoring higher than 67% 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 57,097 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 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them