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MIA-Sig: multiplex chromatin interaction analysis by signal processing and statistical algorithms

Overview of attention for article published in Genome Biology (Online Edition), November 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (72nd percentile)

Mentioned by

twitter
14 tweeters

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
10 Mendeley
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Title
MIA-Sig: multiplex chromatin interaction analysis by signal processing and statistical algorithms
Published in
Genome Biology (Online Edition), November 2019
DOI 10.1186/s13059-019-1868-z
Pubmed ID
Authors

Minji Kim, Meizhen Zheng, Simon Zhongyuan Tian, Byoungkoo Lee, Jeffrey H. Chuang, Yijun Ruan

Twitter Demographics

The data shown below were collected from the profiles of 14 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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 30%
Student > Bachelor 1 10%
Professor 1 10%
Student > Master 1 10%
Researcher 1 10%
Other 0 0%
Unknown 3 30%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 30%
Agricultural and Biological Sciences 2 20%
Materials Science 1 10%
Medicine and Dentistry 1 10%
Unknown 3 30%

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 02 December 2019.
All research outputs
#4,471,338
of 18,978,726 outputs
Outputs from Genome Biology (Online Edition)
#2,464
of 3,793 outputs
Outputs of similar age
#114,570
of 415,718 outputs
Outputs of similar age from Genome Biology (Online Edition)
#255
of 289 outputs
Altmetric has tracked 18,978,726 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,793 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.9. This one is in the 34th percentile – i.e., 34% 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 415,718 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 72% of its contemporaries.
We're also able to compare this research output to 289 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.