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Millefy: visualizing cell-to-cell heterogeneity in read coverage of single-cell RNA sequencing datasets

Overview of attention for article published in BMC Genomics, March 2020
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#33 of 10,228)
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
3 news outlets
blogs
1 blog
twitter
106 tweeters

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
43 Mendeley
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Title
Millefy: visualizing cell-to-cell heterogeneity in read coverage of single-cell RNA sequencing datasets
Published in
BMC Genomics, March 2020
DOI 10.1186/s12864-020-6542-z
Pubmed ID
Authors

Haruka Ozaki, Tetsutaro Hayashi, Mana Umeda, Itoshi Nikaido

Twitter Demographics

The data shown below were collected from the profiles of 106 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 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 43 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 21%
Student > Ph. D. Student 6 14%
Student > Bachelor 5 12%
Researcher 2 5%
Other 1 2%
Other 3 7%
Unknown 17 40%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 28%
Agricultural and Biological Sciences 5 12%
Computer Science 3 7%
Medicine and Dentistry 2 5%
Immunology and Microbiology 1 2%
Other 3 7%
Unknown 17 40%

Attention Score in Context

This research output has an Altmetric Attention Score of 88. 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 September 2020.
All research outputs
#358,035
of 21,168,082 outputs
Outputs from BMC Genomics
#33
of 10,228 outputs
Outputs of similar age
#9,533
of 283,309 outputs
Outputs of similar age from BMC Genomics
#1
of 9 outputs
Altmetric has tracked 21,168,082 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,228 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done particularly well, scoring higher than 99% 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 283,309 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 96% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them