↓ Skip to main content

Mitochondrial heteroplasmy in vertebrates using ChIP-sequencing data

Overview of attention for article published in Genome Biology, June 2016
Altmetric Badge

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 (81st percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
14 X users

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
77 Mendeley
citeulike
3 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Mitochondrial heteroplasmy in vertebrates using ChIP-sequencing data
Published in
Genome Biology, June 2016
DOI 10.1186/s13059-016-0996-y
Pubmed ID
Authors

Thomas Rensch, Diego Villar, Julie Horvath, Duncan T. Odom, Paul Flicek

X Demographics

X Demographics

The data shown below were collected from the profiles of 14 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 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Russia 1 1%
Brazil 1 1%
Unknown 74 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 26 34%
Student > Ph. D. Student 15 19%
Student > Bachelor 10 13%
Student > Master 5 6%
Professor 3 4%
Other 9 12%
Unknown 9 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 31%
Biochemistry, Genetics and Molecular Biology 23 30%
Computer Science 5 6%
Engineering 3 4%
Unspecified 2 3%
Other 5 6%
Unknown 15 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 05 September 2017.
All research outputs
#4,221,145
of 25,837,817 outputs
Outputs from Genome Biology
#2,624
of 4,506 outputs
Outputs of similar age
#69,184
of 370,398 outputs
Outputs of similar age from Genome Biology
#42
of 65 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,506 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 41st percentile – i.e., 41% 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 370,398 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 81% of its contemporaries.
We're also able to compare this research output to 65 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.