The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Timeline
Mendeley readers
Attention Score in Context
Title |
Biomarkers for Predicting Efficacies of Anti-PD1 Antibodies
|
---|---|
Published in |
Frontiers in Medicine, July 2019
|
DOI | 10.3389/fmed.2019.00174 |
Pubmed ID | |
Authors |
Yumi Kambayashi, Taku Fujimura, Takanori Hidaka, Setsuya Aiba |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 49 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 7 | 14% |
Student > Postgraduate | 6 | 12% |
Student > Master | 5 | 10% |
Researcher | 5 | 10% |
Student > Ph. D. Student | 4 | 8% |
Other | 6 | 12% |
Unknown | 16 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 15 | 31% |
Biochemistry, Genetics and Molecular Biology | 4 | 8% |
Pharmacology, Toxicology and Pharmaceutical Science | 3 | 6% |
Immunology and Microbiology | 3 | 6% |
Agricultural and Biological Sciences | 1 | 2% |
Other | 2 | 4% |
Unknown | 21 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 17 May 2023.
All research outputs
#4,465,980
of 23,884,161 outputs
Outputs from Frontiers in Medicine
#1,141
of 6,299 outputs
Outputs of similar age
#85,897
of 348,745 outputs
Outputs of similar age from Frontiers in Medicine
#16
of 61 outputs
Altmetric has tracked 23,884,161 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,299 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.8. This one has done well, scoring higher than 80% 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 348,745 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 74% of its contemporaries.
We're also able to compare this research output to 61 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.