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Timeline
X Demographics
Mendeley readers
Attention Score in Context
Title |
Emerging Blood-Based Biomarkers for Predicting Response to Checkpoint Immunotherapy in Non-Small-Cell Lung Cancer
|
---|---|
Published in |
Frontiers in immunology, October 2020
|
DOI | 10.3389/fimmu.2020.603157 |
Pubmed ID | |
Authors |
Shumin Li, Chengyan Zhang, Guanchao Pang, Pingli Wang |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Italy | 1 | 33% |
Unknown | 2 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 67% |
Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 76 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 10 | 13% |
Researcher | 9 | 12% |
Student > Ph. D. Student | 9 | 12% |
Student > Bachelor | 7 | 9% |
Student > Doctoral Student | 4 | 5% |
Other | 12 | 16% |
Unknown | 25 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 19 | 25% |
Biochemistry, Genetics and Molecular Biology | 12 | 16% |
Immunology and Microbiology | 6 | 8% |
Pharmacology, Toxicology and Pharmaceutical Science | 3 | 4% |
Agricultural and Biological Sciences | 2 | 3% |
Other | 8 | 11% |
Unknown | 26 | 34% |
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 24 April 2021.
All research outputs
#3,406,082
of 25,838,141 outputs
Outputs from Frontiers in immunology
#3,738
of 32,474 outputs
Outputs of similar age
#84,361
of 439,139 outputs
Outputs of similar age from Frontiers in immunology
#159
of 885 outputs
Altmetric has tracked 25,838,141 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 32,474 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one has done well, scoring higher than 88% 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 439,139 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 80% of its contemporaries.
We're also able to compare this research output to 885 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.