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X Demographics
Mendeley readers
Attention Score in Context
Title |
A Machine Learning Model for Predicting a Major Response to Neoadjuvant Chemotherapy in Advanced Gastric Cancer
|
---|---|
Published in |
Frontiers in oncology, June 2021
|
DOI | 10.3389/fonc.2021.675458 |
Pubmed ID | |
Authors |
Yonghe Chen, Kaikai Wei, Dan Liu, Jun Xiang, Gang Wang, Xiaochun Meng, Junsheng Peng |
X Demographics
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
Netherlands | 1 | 25% |
Switzerland | 1 | 25% |
Unknown | 2 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 75% |
Practitioners (doctors, other healthcare professionals) | 1 | 25% |
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 % |
---|---|---|
Lecturer > Senior Lecturer | 2 | 14% |
Student > Ph. D. Student | 2 | 14% |
Student > Doctoral Student | 1 | 7% |
Unspecified | 1 | 7% |
Professor > Associate Professor | 1 | 7% |
Other | 1 | 7% |
Unknown | 6 | 43% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 2 | 14% |
Unspecified | 1 | 7% |
Biochemistry, Genetics and Molecular Biology | 1 | 7% |
Immunology and Microbiology | 1 | 7% |
Business, Management and Accounting | 1 | 7% |
Other | 2 | 14% |
Unknown | 6 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 June 2021.
All research outputs
#14,611,205
of 25,392,582 outputs
Outputs from Frontiers in oncology
#3,831
of 22,433 outputs
Outputs of similar age
#206,830
of 459,810 outputs
Outputs of similar age from Frontiers in oncology
#213
of 1,405 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22,433 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done well, scoring higher than 82% 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 459,810 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 54% of its contemporaries.
We're also able to compare this research output to 1,405 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.