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Using DenseFly algorithm for cell searching on massive scRNA-seq datasets

Overview of attention for article published in BMC Genomics, December 2020
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Mentioned by

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1 X user

Citations

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5 Dimensions

Readers on

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7 Mendeley
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Title
Using DenseFly algorithm for cell searching on massive scRNA-seq datasets
Published in
BMC Genomics, December 2020
DOI 10.1186/s12864-020-6651-8
Pubmed ID
Authors

Yixin Chen, Sijie Chen, Xuegong Zhang

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 29%
Student > Bachelor 2 29%
Lecturer 1 14%
Student > Doctoral Student 1 14%
Unknown 1 14%
Readers by discipline Count As %
Computer Science 3 43%
Biochemistry, Genetics and Molecular Biology 2 29%
Medicine and Dentistry 1 14%
Unknown 1 14%
Attention Score in Context

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 16 December 2020.
All research outputs
#20,675,093
of 23,269,984 outputs
Outputs from BMC Genomics
#9,351
of 10,736 outputs
Outputs of similar age
#431,140
of 506,120 outputs
Outputs of similar age from BMC Genomics
#139
of 188 outputs
Altmetric has tracked 23,269,984 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,736 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 1st percentile – i.e., 1% 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 506,120 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 188 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.