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X Demographics
Mendeley readers
Attention Score in Context
Title |
Development of a novel combined nomogram model integrating deep learning-pathomics, radiomics and immunoscore to predict postoperative outcome of colorectal cancer lung metastasis patients
|
---|---|
Published in |
Journal of Hematology & Oncology, January 2022
|
DOI | 10.1186/s13045-022-01225-3 |
Pubmed ID | |
Authors |
Renjie Wang, Weixing Dai, Jing Gong, Mingzhu Huang, Tingdan Hu, Hang Li, Kailin Lin, Cong Tan, Hong Hu, Tong Tong, Guoxiang Cai |
X Demographics
The data shown below were collected from the profiles of 7 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 | 14% |
Netherlands | 1 | 14% |
India | 1 | 14% |
Unknown | 4 | 57% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 71% |
Practitioners (doctors, other healthcare professionals) | 1 | 14% |
Scientists | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 61 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 6 | 10% |
Student > Master | 4 | 7% |
Student > Postgraduate | 4 | 7% |
Unspecified | 3 | 5% |
Student > Bachelor | 3 | 5% |
Other | 6 | 10% |
Unknown | 35 | 57% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 13 | 21% |
Unspecified | 3 | 5% |
Computer Science | 3 | 5% |
Biochemistry, Genetics and Molecular Biology | 2 | 3% |
Mathematics | 1 | 2% |
Other | 5 | 8% |
Unknown | 34 | 56% |
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 28 February 2022.
All research outputs
#12,968,919
of 23,221,875 outputs
Outputs from Journal of Hematology & Oncology
#593
of 1,204 outputs
Outputs of similar age
#189,721
of 506,610 outputs
Outputs of similar age from Journal of Hematology & Oncology
#11
of 19 outputs
Altmetric has tracked 23,221,875 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,204 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has gotten more attention than average, scoring higher than 50% 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 506,610 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 62% of its contemporaries.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.