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Stratifying tissue heterogeneity with scalable single-cell assays

Overview of attention for article published in Nature Methods, February 2017
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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 (82nd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
22 tweeters

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
68 Mendeley
citeulike
1 CiteULike
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Title
Stratifying tissue heterogeneity with scalable single-cell assays
Published in
Nature Methods, February 2017
DOI 10.1038/nmeth.4209
Pubmed ID
Authors

Kun Zhang

Twitter Demographics

The data shown below were collected from the profiles of 22 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 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Hungary 1 1%
China 1 1%
France 1 1%
Unknown 65 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 29%
Student > Ph. D. Student 19 28%
Student > Master 7 10%
Student > Postgraduate 5 7%
Professor 5 7%
Other 8 12%
Unknown 4 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 35%
Biochemistry, Genetics and Molecular Biology 18 26%
Engineering 7 10%
Medicine and Dentistry 5 7%
Computer Science 3 4%
Other 5 7%
Unknown 6 9%

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 07 April 2017.
All research outputs
#1,669,075
of 14,995,637 outputs
Outputs from Nature Methods
#1,814
of 4,040 outputs
Outputs of similar age
#44,878
of 260,279 outputs
Outputs of similar age from Nature Methods
#57
of 100 outputs
Altmetric has tracked 14,995,637 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,040 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 28.1. This one has gotten more attention than average, scoring higher than 55% 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 260,279 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 82% of its contemporaries.
We're also able to compare this research output to 100 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.