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A lepidic gene signature predicts patient prognosis and sensitivity to immunotherapy in lung adenocarcinoma

Overview of attention for article published in Genome Medicine, January 2022
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)

Mentioned by

twitter
2 X users
patent
1 patent

Citations

dimensions_citation
29 Dimensions

Readers on

mendeley
16 Mendeley
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Title
A lepidic gene signature predicts patient prognosis and sensitivity to immunotherapy in lung adenocarcinoma
Published in
Genome Medicine, January 2022
DOI 10.1186/s13073-021-01010-w
Pubmed ID
Authors

Thinh T. Nguyen, Hyun-Sung Lee, Bryan M. Burt, Jia Wu, Jianjun Zhang, Christopher I. Amos, Chao Cheng

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 19%
Researcher 2 13%
Student > Ph. D. Student 1 6%
Student > Bachelor 1 6%
Professor > Associate Professor 1 6%
Other 0 0%
Unknown 8 50%
Readers by discipline Count As %
Agricultural and Biological Sciences 2 13%
Biochemistry, Genetics and Molecular Biology 2 13%
Medicine and Dentistry 2 13%
Pharmacology, Toxicology and Pharmaceutical Science 1 6%
Chemistry 1 6%
Other 0 0%
Unknown 8 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 09 November 2023.
All research outputs
#7,024,224
of 25,059,640 outputs
Outputs from Genome Medicine
#1,130
of 1,546 outputs
Outputs of similar age
#150,126
of 518,190 outputs
Outputs of similar age from Genome Medicine
#22
of 25 outputs
Altmetric has tracked 25,059,640 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 1,546 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.2. This one is in the 26th percentile – i.e., 26% of its peers scored the same or lower than it.
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 518,190 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 70% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.