| Title |
Radiomics of small renal masses on multiphasic CT: accuracy of machine learning–based classification models for the differentiation of renal cell carcinoma and angiomyolipoma without visible fat
|
|---|---|
| Published in |
European Radiology, August 2019
|
| DOI | 10.1007/s00330-019-06384-5 |
| Pubmed ID | |
| Authors |
Ruimeng Yang, Jialiang Wu, Lei Sun, Shengsheng Lai, Yikai Xu, Xilong Liu, Ying Ma, Xin Zhen |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 79 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 11% |
| Other | 7 | 9% |
| Student > Doctoral Student | 7 | 9% |
| Student > Master | 6 | 8% |
| Student > Bachelor | 3 | 4% |
| Other | 13 | 16% |
| Unknown | 34 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 26 | 33% |
| Computer Science | 4 | 5% |
| Nursing and Health Professions | 2 | 3% |
| Unspecified | 2 | 3% |
| Biochemistry, Genetics and Molecular Biology | 1 | 1% |
| Other | 5 | 6% |
| Unknown | 39 | 49% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 06 June 2020.
All research outputs
#20,578,452
of 23,155,957 outputs
Outputs from European Radiology
#3,370
of 4,192 outputs
Outputs of similar age
#289,489
of 340,812 outputs
Outputs of similar age from European Radiology
#41
of 55 outputs
Altmetric has tracked 23,155,957 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,192 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 1st percentile – i.e., 1% 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 340,812 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 55 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.