| Title |
Structured report data can be used to develop deep learning algorithms: a proof of concept in ankle radiographs
|
|---|---|
| Published in |
Insights into Imaging, September 2019
|
| DOI | 10.1186/s13244-019-0777-8 |
| Pubmed ID | |
| Authors |
Daniel Pinto dos Santos, Sebastian Brodehl, Bettina Baeßler, Gordon Arnhold, Thomas Dratsch, Seung-Hun Chon, Peter Mildenberger, Florian Jungmann |
X Demographics
The data shown below were collected from the profiles of 39 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 | 8 | 21% |
| Spain | 5 | 13% |
| Germany | 4 | 10% |
| United Kingdom | 4 | 10% |
| Austria | 2 | 5% |
| Chile | 1 | 3% |
| Ireland | 1 | 3% |
| Dominican Republic | 1 | 3% |
| United Arab Emirates | 1 | 3% |
| Other | 2 | 5% |
| Unknown | 10 | 26% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 24 | 62% |
| Practitioners (doctors, other healthcare professionals) | 7 | 18% |
| Science communicators (journalists, bloggers, editors) | 4 | 10% |
| Scientists | 4 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 70 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 13% |
| Other | 5 | 7% |
| Student > Ph. D. Student | 5 | 7% |
| Student > Master | 5 | 7% |
| Student > Bachelor | 4 | 6% |
| Other | 12 | 17% |
| Unknown | 30 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 24 | 34% |
| Engineering | 4 | 6% |
| Computer Science | 3 | 4% |
| Philosophy | 1 | 1% |
| Nursing and Health Professions | 1 | 1% |
| Other | 6 | 9% |
| Unknown | 31 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 35. 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 11 December 2019.
All research outputs
#1,127,157
of 25,192,722 outputs
Outputs from Insights into Imaging
#43
of 1,188 outputs
Outputs of similar age
#24,142
of 351,496 outputs
Outputs of similar age from Insights into Imaging
#3
of 18 outputs
Altmetric has tracked 25,192,722 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,188 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one has done particularly well, scoring higher than 96% 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 351,496 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.