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X Demographics
Mendeley readers
Attention Score in Context
Title |
Tumor microenvironment remodeling after neoadjuvant immunotherapy in non-small cell lung cancer revealed by single-cell RNA sequencing
|
---|---|
Published in |
Genome Medicine, March 2023
|
DOI | 10.1186/s13073-023-01164-9 |
Pubmed ID | |
Authors |
Junjie Hu, Lele Zhang, Haoran Xia, Yilv Yan, Xinsheng Zhu, Fenghuan Sun, Liangdong Sun, Shuangyi Li, Dianke Li, Jin Wang, Ya Han, Jing Zhang, Dongliang Bian, Huansha Yu, Yan Chen, Pengyu Fan, Qiang Ma, Gening Jiang, Chenfei Wang, Peng Zhang |
X Demographics
The data shown below were collected from the profiles of 20 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 3 | 15% |
United States | 2 | 10% |
Portugal | 1 | 5% |
France | 1 | 5% |
Unknown | 13 | 65% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 12 | 60% |
Scientists | 7 | 35% |
Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 64 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 10 | 16% |
Student > Bachelor | 7 | 11% |
Student > Ph. D. Student | 5 | 8% |
Student > Master | 5 | 8% |
Student > Doctoral Student | 3 | 5% |
Other | 8 | 13% |
Unknown | 26 | 41% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 10 | 16% |
Immunology and Microbiology | 6 | 9% |
Medicine and Dentistry | 5 | 8% |
Agricultural and Biological Sciences | 5 | 8% |
Computer Science | 2 | 3% |
Other | 7 | 11% |
Unknown | 29 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 20 March 2024.
All research outputs
#3,342,068
of 25,753,031 outputs
Outputs from Genome Medicine
#733
of 1,611 outputs
Outputs of similar age
#64,752
of 426,074 outputs
Outputs of similar age from Genome Medicine
#12
of 21 outputs
Altmetric has tracked 25,753,031 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,611 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.5. This one has gotten more attention than average, scoring higher than 54% 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 426,074 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 21 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.