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SNV identification from single-cell RNA sequencing data

Overview of attention for article published in Human Molecular Genetics, August 2019
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
3 tweeters

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
9 Mendeley
Title
SNV identification from single-cell RNA sequencing data
Published in
Human Molecular Genetics, August 2019
DOI 10.1093/hmg/ddz207
Pubmed ID
Authors

Patricia M Schnepp, Mengjie Chen, Evan T Keller, Xiang Zhou

Twitter Demographics

The data shown below were collected from the profiles of 3 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 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 44%
Student > Bachelor 2 22%
Professor > Associate Professor 1 11%
Unspecified 1 11%
Researcher 1 11%
Other 0 0%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 44%
Computer Science 2 22%
Unspecified 1 11%
Immunology and Microbiology 1 11%
Unknown 1 11%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 11 September 2019.
All research outputs
#9,090,125
of 14,473,946 outputs
Outputs from Human Molecular Genetics
#5,371
of 6,668 outputs
Outputs of similar age
#153,668
of 256,497 outputs
Outputs of similar age from Human Molecular Genetics
#55
of 78 outputs
Altmetric has tracked 14,473,946 research outputs across all sources so far. This one is in the 24th percentile – i.e., 24% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,668 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one is in the 13th percentile – i.e., 13% 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 256,497 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 78 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.