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.
X Demographics
Mendeley readers
Attention Score in Context
Title |
Single-cell transcriptome and antigen-immunoglobin analysis reveals the diversity of B cells in non-small cell lung cancer
|
---|---|
Published in |
Genome Biology, 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 |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Brazil | 1 | 14% |
Italy | 1 | 14% |
United Kingdom | 1 | 14% |
Unknown | 4 | 57% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 71% |
Scientists | 1 | 14% |
Science communicators (journalists, bloggers, editors) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 153 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 153 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 27 | 18% |
Student > Ph. D. Student | 25 | 16% |
Student > Master | 14 | 9% |
Student > Bachelor | 14 | 9% |
Student > Doctoral Student | 8 | 5% |
Other | 13 | 8% |
Unknown | 52 | 34% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 39 | 25% |
Immunology and Microbiology | 17 | 11% |
Medicine and Dentistry | 16 | 10% |
Agricultural and Biological Sciences | 12 | 8% |
Engineering | 4 | 3% |
Other | 7 | 5% |
Unknown | 58 | 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
#2,378,378
of 24,875,286 outputs
Outputs from Genome Biology
#1,963
of 4,394 outputs
Outputs of similar age
#61,751
of 405,646 outputs
Outputs of similar age from Genome Biology
#62
of 90 outputs
Altmetric has tracked 24,875,286 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,394 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.7. This one has gotten more attention than average, scoring higher than 55% 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 405,646 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 90 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.