| Title |
Deep learning analysis of left ventricular myocardium in CT angiographic intermediate-degree coronary stenosis improves the diagnostic accuracy for identification of functionally significant stenosis
|
|---|---|
| Published in |
European Radiology, November 2018
|
| DOI | 10.1007/s00330-018-5822-3 |
| Pubmed ID | |
| Authors |
Robbert W. van Hamersvelt, Majd Zreik, Michiel Voskuil, Max A. Viergever, Ivana Išgum, Tim Leiner |
X Demographics
The data shown below were collected from the profiles of 8 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 | 2 | 25% |
| Austria | 1 | 13% |
| Germany | 1 | 13% |
| Switzerland | 1 | 13% |
| Unknown | 3 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 3 | 38% |
| Scientists | 2 | 25% |
| Members of the public | 2 | 25% |
| Science communicators (journalists, bloggers, editors) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 105 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 18% |
| Researcher | 13 | 12% |
| Student > Master | 13 | 12% |
| Student > Bachelor | 7 | 7% |
| Student > Postgraduate | 7 | 7% |
| Other | 14 | 13% |
| Unknown | 32 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 29 | 28% |
| Computer Science | 13 | 12% |
| Engineering | 10 | 10% |
| Nursing and Health Professions | 3 | 3% |
| Psychology | 2 | 2% |
| Other | 9 | 9% |
| Unknown | 39 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 05 March 2020.
All research outputs
#5,629,009
of 23,112,054 outputs
Outputs from European Radiology
#757
of 4,187 outputs
Outputs of similar age
#98,915
of 344,938 outputs
Outputs of similar age from European Radiology
#11
of 84 outputs
Altmetric has tracked 23,112,054 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,187 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done well, scoring higher than 81% 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 344,938 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 71% of its contemporaries.
We're also able to compare this research output to 84 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.