↓ Skip to main content

Predicting EGFR mutation, ALK rearrangement, and uncommon EGFR mutation in NSCLC patients by driverless artificial intelligence: a cohort study

Overview of attention for article published in Respiratory Research, May 2022
Altmetric Badge

Mentioned by

twitter
1 X user
reddit
1 Redditor

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
26 Mendeley
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.
Title
Predicting EGFR mutation, ALK rearrangement, and uncommon EGFR mutation in NSCLC patients by driverless artificial intelligence: a cohort study
Published in
Respiratory Research, May 2022
DOI 10.1186/s12931-022-02053-2
Pubmed ID
Authors

Xueyun Tan, Yuan Li, Sufei Wang, Hui Xia, Rui Meng, Juanjuan Xu, Yanran Duan, Yan Li, Guanghai Yang, Yanling Ma, Yang Jin

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 8%
Student > Master 2 8%
Researcher 1 4%
Student > Bachelor 1 4%
Unknown 20 77%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 8%
Nursing and Health Professions 2 8%
Medicine and Dentistry 2 8%
Unknown 20 77%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 02 June 2022.
All research outputs
#19,961,193
of 25,392,582 outputs
Outputs from Respiratory Research
#2,511
of 3,064 outputs
Outputs of similar age
#314,060
of 443,636 outputs
Outputs of similar age from Respiratory Research
#59
of 82 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,064 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one is in the 11th percentile – i.e., 11% 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 443,636 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 82 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.