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Ranking genomic features using an information-theoretic measure of epigenetic discordance

Overview of attention for article published in BMC Bioinformatics, April 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

Mentioned by

twitter
4 X users

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
27 Mendeley
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Title
Ranking genomic features using an information-theoretic measure of epigenetic discordance
Published in
BMC Bioinformatics, April 2019
DOI 10.1186/s12859-019-2777-6
Pubmed ID
Authors

Garrett Jenkinson, Jordi Abante, Michael A. Koldobskiy, Andrew P. Feinberg, John Goutsias

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 19%
Student > Bachelor 4 15%
Student > Master 4 15%
Student > Ph. D. Student 3 11%
Student > Doctoral Student 3 11%
Other 4 15%
Unknown 4 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 22%
Biochemistry, Genetics and Molecular Biology 3 11%
Physics and Astronomy 3 11%
Mathematics 2 7%
Medicine and Dentistry 2 7%
Other 6 22%
Unknown 5 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 09 April 2019.
All research outputs
#13,126,244
of 23,140,503 outputs
Outputs from BMC Bioinformatics
#3,830
of 7,339 outputs
Outputs of similar age
#167,139
of 352,672 outputs
Outputs of similar age from BMC Bioinformatics
#69
of 163 outputs
Altmetric has tracked 23,140,503 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,339 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 45th percentile – i.e., 45% 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 352,672 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 51% of its contemporaries.
We're also able to compare this research output to 163 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 55% of its contemporaries.