↓ Skip to main content

SCSA: A Cell Type Annotation Tool for Single-Cell RNA-seq Data

Overview of attention for article published in Frontiers in Genetics, May 2020
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (60th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

twitter
6 X users

Readers on

mendeley
128 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
SCSA: A Cell Type Annotation Tool for Single-Cell RNA-seq Data
Published in
Frontiers in Genetics, May 2020
DOI 10.3389/fgene.2020.00490
Pubmed ID
Authors

Yinghao Cao, Xiaoyue Wang, Gongxin Peng

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users 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 128 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 128 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 18%
Researcher 22 17%
Student > Master 12 9%
Student > Bachelor 11 9%
Other 6 5%
Other 15 12%
Unknown 39 30%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 32 25%
Agricultural and Biological Sciences 17 13%
Immunology and Microbiology 8 6%
Computer Science 7 5%
Neuroscience 7 5%
Other 16 13%
Unknown 41 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 04 September 2020.
All research outputs
#7,363,125
of 23,208,901 outputs
Outputs from Frontiers in Genetics
#2,342
of 12,239 outputs
Outputs of similar age
#152,456
of 386,675 outputs
Outputs of similar age from Frontiers in Genetics
#76
of 364 outputs
Altmetric has tracked 23,208,901 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 12,239 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 80% 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 386,675 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 60% of its contemporaries.
We're also able to compare this research output to 364 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.