Title |
Multiphase Contrast-Enhanced CT-Based Machine Learning Models to Predict the Fuhrman Nuclear Grade of Clear Cell Renal Cell Carcinoma
|
---|---|
Published in |
Cancer Management and Research, February 2021
|
DOI | 10.2147/cmar.s290327 |
Pubmed ID | |
Authors |
Shengsheng Lai, Lei Sun, Jialiang Wu, Ruili Wei, Shiwei Luo, Wenshuang Ding, Xilong Liu, Ruimeng Yang, Xin Zhen |
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 | 2 | 22% |
Netherlands | 2 | 22% |
India | 1 | 11% |
Germany | 1 | 11% |
Mexico | 1 | 11% |
Unknown | 2 | 22% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 8 | 89% |
Practitioners (doctors, other healthcare professionals) | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 18 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Other | 2 | 11% |
Researcher | 2 | 11% |
Student > Master | 2 | 11% |
Student > Postgraduate | 1 | 6% |
Unspecified | 1 | 6% |
Other | 0 | 0% |
Unknown | 10 | 56% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 2 | 11% |
Unspecified | 1 | 6% |
Arts and Humanities | 1 | 6% |
Medicine and Dentistry | 1 | 6% |
Computer Science | 1 | 6% |
Other | 0 | 0% |
Unknown | 12 | 67% |
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 13 February 2021.
All research outputs
#13,797,192
of 24,417,958 outputs
Outputs from Cancer Management and Research
#462
of 2,029 outputs
Outputs of similar age
#229,960
of 514,622 outputs
Outputs of similar age from Cancer Management and Research
#24
of 120 outputs
Altmetric has tracked 24,417,958 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 2,029 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done well, scoring higher than 77% 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 514,622 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 120 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.