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X Demographics
Mendeley readers
Attention Score in Context
Title |
Machine learning models based on immunological genes to predict the response to neoadjuvant therapy in breast cancer patients
|
---|---|
Published in |
Frontiers in immunology, July 2022
|
DOI | 10.3389/fimmu.2022.948601 |
Pubmed ID | |
Authors |
Jian Chen, Li Hao, Xiaojun Qian, Lin Lin, Yueyin Pan, Xinghua Han |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 11% |
China | 1 | 11% |
Switzerland | 1 | 11% |
Unknown | 6 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 8 | 89% |
Scientists | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 14 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 1 | 7% |
Researcher | 1 | 7% |
Lecturer | 1 | 7% |
Student > Master | 1 | 7% |
Unknown | 10 | 71% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 2 | 14% |
Computer Science | 1 | 7% |
Decision Sciences | 1 | 7% |
Unknown | 10 | 71% |
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 24 July 2022.
All research outputs
#7,722,459
of 25,392,582 outputs
Outputs from Frontiers in immunology
#8,884
of 31,549 outputs
Outputs of similar age
#137,661
of 433,855 outputs
Outputs of similar age from Frontiers in immunology
#442
of 2,011 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 31,549 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one has gotten more attention than average, scoring higher than 71% 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 433,855 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 67% of its contemporaries.
We're also able to compare this research output to 2,011 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.