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gCAnno: a graph-based single cell type annotation method

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

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

blogs
1 blog
twitter
3 X users

Readers on

mendeley
8 Mendeley
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Title
gCAnno: a graph-based single cell type annotation method
Published in
BMC Genomics, November 2020
DOI 10.1186/s12864-020-07223-4
Pubmed ID
Authors

Xiaofei Yang, Shenghan Gao, Tingjie Wang, Boyu Yang, Ningxin Dang, Kai Ye

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 38%
Student > Bachelor 1 13%
Student > Postgraduate 1 13%
Unknown 3 38%
Readers by discipline Count As %
Computer Science 3 38%
Biochemistry, Genetics and Molecular Biology 1 13%
Environmental Science 1 13%
Unknown 3 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 03 December 2020.
All research outputs
#4,090,151
of 23,577,761 outputs
Outputs from BMC Genomics
#1,610
of 10,800 outputs
Outputs of similar age
#107,405
of 510,185 outputs
Outputs of similar age from BMC Genomics
#28
of 186 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,800 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 84% 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 510,185 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 186 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.