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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Timeline
X Demographics
Mendeley readers
Attention Score in Context
Title |
Automatic text classification of prostate cancer malignancy scores in radiology reports using NLP models
|
---|---|
Published in |
Medical & Biological Engineering & Computing, June 2024
|
DOI | 10.1007/s11517-024-03131-x |
Pubmed ID | |
Authors |
Jaime Collado-Montañez, Pilar López-Úbeda, Mariia Chizhikova, M. Carlos Díaz-Galiano, L. Alfonso Ureña-López, Teodoro Martín-Noguerol, Antonio Luna, M. Teresa Martín-Valdivia |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 3 | 38% |
Denmark | 1 | 13% |
Unknown | 4 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 50% |
Scientists | 3 | 38% |
Science communicators (journalists, bloggers, editors) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 2 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 1 | 50% |
Student > Bachelor | 1 | 50% |
Readers by discipline | Count | As % |
---|---|---|
Business, Management and Accounting | 1 | 50% |
Medicine and Dentistry | 1 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 07 June 2024.
All research outputs
#5,504,692
of 26,109,760 outputs
Outputs from Medical & Biological Engineering & Computing
#172
of 2,080 outputs
Outputs of similar age
#34,565
of 160,265 outputs
Outputs of similar age from Medical & Biological Engineering & Computing
#3
of 9 outputs
Altmetric has tracked 26,109,760 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,080 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done particularly well, scoring higher than 91% 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 160,265 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 78% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.