| Title |
Radiomics machine-learning signature for diagnosis of hepatocellular carcinoma in cirrhotic patients with indeterminate liver nodules
|
|---|---|
| Published in |
European Radiology, August 2019
|
| DOI | 10.1007/s00330-019-06347-w |
| Pubmed ID | |
| Authors |
Fatima-Zohra Mokrane, Lin Lu, Adrien Vavasseur, Philippe Otal, Jean-Marie Peron, Lyndon Luk, Hao Yang, Samy Ammari, Yvonne Saenger, Herve Rousseau, Binsheng Zhao, Lawrence H. Schwartz, Laurent Dercle |
X Demographics
The data shown below were collected from the profiles of 2 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 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 129 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 129 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 17 | 13% |
| Student > Ph. D. Student | 13 | 10% |
| Student > Bachelor | 11 | 9% |
| Student > Postgraduate | 7 | 5% |
| Other | 7 | 5% |
| Other | 21 | 16% |
| Unknown | 53 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 31 | 24% |
| Computer Science | 7 | 5% |
| Engineering | 6 | 5% |
| Biochemistry, Genetics and Molecular Biology | 5 | 4% |
| Physics and Astronomy | 5 | 4% |
| Other | 15 | 12% |
| Unknown | 60 | 47% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 January 2020.
All research outputs
#7,564,164
of 24,833,726 outputs
Outputs from European Radiology
#1,148
of 4,769 outputs
Outputs of similar age
#124,186
of 347,088 outputs
Outputs of similar age from European Radiology
#17
of 56 outputs
Altmetric has tracked 24,833,726 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 4,769 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done well, scoring higher than 75% 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 347,088 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 63% of its contemporaries.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.