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ELMER v.2: an R/Bioconductor package to reconstruct gene regulatory networks from DNA methylation and transcriptome profiles

Overview of attention for article published in Bioinformatics, October 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

twitter
23 tweeters

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
52 Mendeley
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Title
ELMER v.2: an R/Bioconductor package to reconstruct gene regulatory networks from DNA methylation and transcriptome profiles
Published in
Bioinformatics, October 2018
DOI 10.1093/bioinformatics/bty902
Pubmed ID
Authors

Tiago C Silva, Simon G Coetzee, Nicole Gull, Lijing Yao, Dennis J Hazelett, Houtan Noushmehr, De-Chen Lin, Benjamin P Berman

Twitter Demographics

The data shown below were collected from the profiles of 23 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 52 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 27%
Researcher 10 19%
Student > Doctoral Student 6 12%
Student > Master 5 10%
Other 4 8%
Other 9 17%
Unknown 4 8%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 23 44%
Agricultural and Biological Sciences 5 10%
Computer Science 5 10%
Medicine and Dentistry 4 8%
Engineering 2 4%
Other 6 12%
Unknown 7 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 04 June 2019.
All research outputs
#1,473,674
of 15,183,934 outputs
Outputs from Bioinformatics
#1,467
of 9,697 outputs
Outputs of similar age
#52,760
of 322,077 outputs
Outputs of similar age from Bioinformatics
#30
of 162 outputs
Altmetric has tracked 15,183,934 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,697 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one has done well, scoring higher than 84% 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 322,077 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 83% of its contemporaries.
We're also able to compare this research output to 162 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.