| Title |
Machine learning applications in prostate cancer magnetic resonance imaging
|
|---|---|
| Published in |
European Radiology Experimental, August 2019
|
| DOI | 10.1186/s41747-019-0109-2 |
| Pubmed ID | |
| Authors |
Renato Cuocolo, Maria Brunella Cipullo, Arnaldo Stanzione, Lorenzo Ugga, Valeria Romeo, Leonardo Radice, Arturo Brunetti, Massimo Imbriaco |
X Demographics
The data shown below were collected from the profiles of 19 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 11% |
| Austria | 2 | 11% |
| Spain | 2 | 11% |
| Italy | 2 | 11% |
| United States | 1 | 5% |
| Poland | 1 | 5% |
| Norway | 1 | 5% |
| Venezuela, Bolivarian Republic of | 1 | 5% |
| Netherlands | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 6 | 32% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 37% |
| Practitioners (doctors, other healthcare professionals) | 6 | 32% |
| Science communicators (journalists, bloggers, editors) | 4 | 21% |
| Scientists | 2 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 255 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 255 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 33 | 13% |
| Student > Master | 30 | 12% |
| Researcher | 23 | 9% |
| Student > Bachelor | 20 | 8% |
| Other | 13 | 5% |
| Other | 30 | 12% |
| Unknown | 106 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 47 | 18% |
| Computer Science | 29 | 11% |
| Engineering | 16 | 6% |
| Nursing and Health Professions | 8 | 3% |
| Physics and Astronomy | 6 | 2% |
| Other | 28 | 11% |
| Unknown | 121 | 47% |
Attention Score in Context
This research output has an Altmetric Attention Score of 20. 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 15 June 2020.
All research outputs
#1,610,470
of 23,269,984 outputs
Outputs from European Radiology Experimental
#8
of 205 outputs
Outputs of similar age
#35,800
of 345,540 outputs
Outputs of similar age from European Radiology Experimental
#1
of 6 outputs
Altmetric has tracked 23,269,984 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 205 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.5. 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 345,540 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them