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JOINT for large-scale single-cell RNA-sequencing analysis via soft-clustering and parallel computing

Overview of attention for article published in BMC Genomics, January 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

Mentioned by

twitter
6 tweeters

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
16 Mendeley
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Title
JOINT for large-scale single-cell RNA-sequencing analysis via soft-clustering and parallel computing
Published in
BMC Genomics, January 2021
DOI 10.1186/s12864-020-07302-6
Pubmed ID
Authors

Tao Cui, Tingting Wang

Twitter Demographics

The data shown below were collected from the profiles of 6 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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 19%
Student > Bachelor 2 13%
Researcher 2 13%
Professor 1 6%
Other 1 6%
Other 2 13%
Unknown 5 31%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 19%
Computer Science 3 19%
Agricultural and Biological Sciences 1 6%
Psychology 1 6%
Medicine and Dentistry 1 6%
Other 2 13%
Unknown 5 31%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 13 January 2021.
All research outputs
#11,441,171
of 19,998,134 outputs
Outputs from BMC Genomics
#4,401
of 9,924 outputs
Outputs of similar age
#217,946
of 471,003 outputs
Outputs of similar age from BMC Genomics
#230
of 669 outputs
Altmetric has tracked 19,998,134 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,924 research outputs from this source. They receive a mean Attention Score of 4.5. This one has gotten more attention than average, scoring higher than 53% 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 471,003 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.
We're also able to compare this research output to 669 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 64% of its contemporaries.