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An active learning approach for clustering single-cell RNA-seq data

Overview of attention for article published in Laboratory Investigation, July 2021
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Mentioned by

twitter
2 tweeters

Readers on

mendeley
11 Mendeley
Title
An active learning approach for clustering single-cell RNA-seq data
Published in
Laboratory Investigation, July 2021
DOI 10.1038/s41374-021-00639-w
Pubmed ID
Authors

Xiang Lin, Haoran Liu, Zhi Wei, Senjuti Basu Roy, Nan Gao

Twitter Demographics

The data shown below were collected from the profiles of 2 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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 36%
Student > Ph. D. Student 3 27%
Other 1 9%
Student > Bachelor 1 9%
Unknown 2 18%
Readers by discipline Count As %
Computer Science 2 18%
Agricultural and Biological Sciences 2 18%
Chemical Engineering 1 9%
Biochemistry, Genetics and Molecular Biology 1 9%
Immunology and Microbiology 1 9%
Other 2 18%
Unknown 2 18%

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 July 2021.
All research outputs
#15,986,752
of 19,907,236 outputs
Outputs from Laboratory Investigation
#1,578
of 1,861 outputs
Outputs of similar age
#236,230
of 336,044 outputs
Outputs of similar age from Laboratory Investigation
#20
of 24 outputs
Altmetric has tracked 19,907,236 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,861 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 8th percentile – i.e., 8% 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 336,044 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.