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Prediction of CpG-island function: CpG clustering vs. sliding-window methods

Overview of attention for article published in BMC Genomics, May 2010
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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
1 patent

Citations

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39 Dimensions

Readers on

mendeley
72 Mendeley
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1 CiteULike
connotea
2 Connotea
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Title
Prediction of CpG-island function: CpG clustering vs. sliding-window methods
Published in
BMC Genomics, May 2010
DOI 10.1186/1471-2164-11-327
Pubmed ID
Authors

Michael Hackenberg, Guillermo Barturen, Pedro Carpena, Pedro L Luque-Escamilla, Christopher Previti, José L Oliver

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

Geographical breakdown

Country Count As %
Canada 2 3%
United States 2 3%
France 1 1%
Norway 1 1%
Turkey 1 1%
United Kingdom 1 1%
Germany 1 1%
Spain 1 1%
India 1 1%
Other 0 0%
Unknown 61 85%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 26%
Researcher 17 24%
Professor 6 8%
Student > Bachelor 6 8%
Student > Master 6 8%
Other 12 17%
Unknown 6 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 35 49%
Biochemistry, Genetics and Molecular Biology 8 11%
Computer Science 6 8%
Medicine and Dentistry 4 6%
Mathematics 3 4%
Other 6 8%
Unknown 10 14%
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 26 April 2023.
All research outputs
#7,786,691
of 25,394,764 outputs
Outputs from BMC Genomics
#3,319
of 11,250 outputs
Outputs of similar age
#35,725
of 105,186 outputs
Outputs of similar age from BMC Genomics
#28
of 70 outputs
Altmetric has tracked 25,394,764 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 11,250 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 69% 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 105,186 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 70 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.