↓ Skip to main content

Single-cell ATAC-seq: strength in numbers

Overview of attention for article published in Genome Biology, August 2015
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 (93rd percentile)
  • Good Attention Score compared to outputs of the same age and source (67th percentile)

Mentioned by

blogs
1 blog
twitter
26 X users
patent
86 patents
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
67 Dimensions

Readers on

mendeley
400 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
Single-cell ATAC-seq: strength in numbers
Published in
Genome Biology, August 2015
DOI 10.1186/s13059-015-0737-7
Pubmed ID
Authors

Sebastian Pott, Jason D. Lieb

Abstract

Single-cell ATAC-seq detects open chromatin in individual cells. Currently data are sparse, but combining information from many single cells can identify determinants of cell-to-cell chromatin variation.

X Demographics

X Demographics

The data shown below were collected from the profiles of 26 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 400 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 6 2%
United States 3 <1%
Sweden 1 <1%
Japan 1 <1%
Denmark 1 <1%
Unknown 388 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 101 25%
Researcher 95 24%
Student > Master 53 13%
Student > Bachelor 26 7%
Student > Doctoral Student 24 6%
Other 56 14%
Unknown 45 11%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 154 39%
Agricultural and Biological Sciences 124 31%
Computer Science 16 4%
Medicine and Dentistry 13 3%
Neuroscience 9 2%
Other 34 9%
Unknown 50 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 27. 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 22 March 2024.
All research outputs
#1,436,385
of 25,622,179 outputs
Outputs from Genome Biology
#1,134
of 4,496 outputs
Outputs of similar age
#18,611
of 278,160 outputs
Outputs of similar age from Genome Biology
#28
of 83 outputs
Altmetric has tracked 25,622,179 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,496 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 74% 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 278,160 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 83 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.