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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

  • Good Attention Score compared to outputs of the same age (68th percentile)

Mentioned by

twitter
13 tweeters

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
11 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 13 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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 36%
Student > Bachelor 1 9%
Professor 1 9%
Student > Master 1 9%
Researcher 1 9%
Other 0 0%
Unknown 3 27%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 36%
Agricultural and Biological Sciences 2 18%
Materials Science 1 9%
Medicine and Dentistry 1 9%
Unknown 3 27%

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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
#5,048,650
of 19,248,133 outputs
Outputs from Genome Biology (Online Edition)
#2,646
of 3,814 outputs
Outputs of similar age
#130,421
of 417,286 outputs
Outputs of similar age from Genome Biology (Online Edition)
#263
of 289 outputs
Altmetric has tracked 19,248,133 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 3,814 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 30th percentile – i.e., 30% 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 417,286 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 68% 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 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.