| Title |
Machine learning-based CT radiomics approach for predicting WHO/ISUP nuclear grade of clear cell renal cell carcinoma: an exploratory and comparative study
|
|---|---|
| Published in |
Insights into Imaging, November 2021
|
| DOI | 10.1186/s13244-021-01107-1 |
| Pubmed ID | |
| Authors |
Yingjie Xv, Fajin Lv, Haoming Guo, Xiang Zhou, Hao Tan, Mingzhao Xiao, Yineng Zheng |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Austria | 1 | 20% |
| United Arab Emirates | 1 | 20% |
| Netherlands | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 1 | 20% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 3 | 15% |
| Researcher | 3 | 15% |
| Lecturer > Senior Lecturer | 1 | 5% |
| Student > Bachelor | 1 | 5% |
| Student > Doctoral Student | 1 | 5% |
| Other | 2 | 10% |
| Unknown | 9 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 4 | 20% |
| Medicine and Dentistry | 3 | 15% |
| Unspecified | 3 | 15% |
| Unknown | 10 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 14 September 2023.
All research outputs
#15,102,803
of 24,417,958 outputs
Outputs from Insights into Imaging
#617
of 1,086 outputs
Outputs of similar age
#246,068
of 510,794 outputs
Outputs of similar age from Insights into Imaging
#24
of 43 outputs
Altmetric has tracked 24,417,958 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,086 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one is in the 40th percentile – i.e., 40% of its peers scored the same or lower than it.
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 510,794 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 50% of its contemporaries.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.