The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Title |
Elucidation of the Application of Blood Test Biomarkers to Predict Immune-Related Adverse Events in Atezolizumab-Treated NSCLC Patients Using Machine Learning Methods
|
---|---|
Published in |
Frontiers in immunology, June 2022
|
DOI | 10.3389/fimmu.2022.862752 |
Pubmed ID | |
Authors |
Jian-Guo Zhou, Ada Hang-Heng Wong, Haitao Wang, Fangya Tan, Xiaofei Chen, Su-Han Jin, Si-Si He, Gang Shen, Yun-Jia Wang, Benjamin Frey, Rainer Fietkau, Markus Hecht, Hu Ma, Udo S. Gaipl |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 2 | 50% |
United States | 1 | 25% |
Unknown | 1 | 25% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 2 | 50% |
Members of the public | 2 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 15 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 4 | 27% |
Student > Ph. D. Student | 2 | 13% |
Professor | 1 | 7% |
Student > Doctoral Student | 1 | 7% |
Unknown | 7 | 47% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 3 | 20% |
Biochemistry, Genetics and Molecular Biology | 2 | 13% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 7% |
Computer Science | 1 | 7% |
Materials Science | 1 | 7% |
Other | 0 | 0% |
Unknown | 7 | 47% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 July 2022.
All research outputs
#8,747,170
of 26,169,168 outputs
Outputs from Frontiers in immunology
#11,004
of 33,003 outputs
Outputs of similar age
#158,184
of 445,212 outputs
Outputs of similar age from Frontiers in immunology
#589
of 1,995 outputs
Altmetric has tracked 26,169,168 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 33,003 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.5. This one has gotten more attention than average, scoring higher than 66% 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 445,212 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 64% of its contemporaries.
We're also able to compare this research output to 1,995 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.