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MeDEStrand: an improved method to infer genome-wide absolute methylation levels from DNA enrichment data

Overview of attention for article published in BMC Bioinformatics, December 2018
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  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
6 tweeters

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
20 Mendeley
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Title
MeDEStrand: an improved method to infer genome-wide absolute methylation levels from DNA enrichment data
Published in
BMC Bioinformatics, December 2018
DOI 10.1186/s12859-018-2574-7
Pubmed ID
Authors

Jingting Xu, Shimeng Liu, Ping Yin, Serdar Bulun, Yang Dai

Twitter Demographics

The data shown below were collected from the profiles of 6 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 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 35%
Student > Ph. D. Student 4 20%
Student > Bachelor 4 20%
Student > Master 2 10%
Professor > Associate Professor 1 5%
Other 0 0%
Unknown 2 10%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 30%
Agricultural and Biological Sciences 4 20%
Computer Science 2 10%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Nursing and Health Professions 1 5%
Other 3 15%
Unknown 3 15%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 31 December 2018.
All research outputs
#7,909,153
of 14,079,326 outputs
Outputs from BMC Bioinformatics
#3,027
of 5,317 outputs
Outputs of similar age
#181,972
of 368,788 outputs
Outputs of similar age from BMC Bioinformatics
#217
of 414 outputs
Altmetric has tracked 14,079,326 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 5,317 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 40th percentile – i.e., 40% 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 368,788 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 414 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.