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Single-cell transcriptome and antigen-immunoglobin analysis reveals the diversity of B cells in non-small cell lung cancer

Overview of attention for article published in Genome Biology (Online Edition), June 2020
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About this Attention Score

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

Mentioned by

news
1 news outlet
twitter
8 tweeters
reddit
1 Redditor

Citations

dimensions_citation
73 Dimensions

Readers on

mendeley
132 Mendeley
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Title
Single-cell transcriptome and antigen-immunoglobin analysis reveals the diversity of B cells in non-small cell lung cancer
Published in
Genome Biology (Online Edition), June 2020
DOI 10.1186/s13059-020-02064-6
Pubmed ID
Authors

Jian Chen, Yun Tan, Fenghuan Sun, Likun Hou, Chi Zhang, Tao Ge, Huansha Yu, Chunxiao Wu, Yuming Zhu, Liang Duan, Liang Wu, Nan Song, Liping Zhang, Wei Zhang, Di Wang, Chang Chen, Chunyan Wu, Gening Jiang, Peng Zhang

Twitter Demographics

The data shown below were collected from the profiles of 8 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 132 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 132 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 17%
Researcher 21 16%
Student > Master 14 11%
Student > Bachelor 12 9%
Student > Doctoral Student 8 6%
Other 10 8%
Unknown 44 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 33 25%
Immunology and Microbiology 15 11%
Medicine and Dentistry 13 10%
Agricultural and Biological Sciences 12 9%
Engineering 4 3%
Other 5 4%
Unknown 50 38%

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 21 August 2022.
All research outputs
#2,003,141
of 22,509,254 outputs
Outputs from Genome Biology (Online Edition)
#1,741
of 4,086 outputs
Outputs of similar age
#47,565
of 310,527 outputs
Outputs of similar age from Genome Biology (Online Edition)
#1
of 1 outputs
Altmetric has tracked 22,509,254 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,086 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 57% 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 310,527 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 84% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them