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Timeline
X Demographics
Mendeley readers
Attention Score in Context
Title |
3D vs. 2D MRI radiomics in skeletal Ewing sarcoma: Feature reproducibility and preliminary machine learning analysis on neoadjuvant chemotherapy response prediction
|
---|---|
Published in |
Frontiers in oncology, December 2022
|
DOI | 10.3389/fonc.2022.1016123 |
Pubmed ID | |
Authors |
Salvatore Gitto, Valentina D. A. Corino, Alessio Annovazzi, Estevāo Milazzo Machado, Marco Bologna, Lorenzo Marzorati, Domenico Albano, Carmelo Messina, Francesca Serpi, Vincenzo Anelli, Virginia Ferraresi, Carmine Zoccali, Alberto Aliprandi, Antonina Parafioriti, Alessandro Luzzati, Roberto Biagini, Luca Mainardi, Luca Maria Sconfienza |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 17% |
Unknown | 5 | 83% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 83% |
Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 10 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 3 | 30% |
Unspecified | 1 | 10% |
Researcher | 1 | 10% |
Lecturer > Senior Lecturer | 1 | 10% |
Student > Master | 1 | 10% |
Other | 0 | 0% |
Unknown | 3 | 30% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 3 | 30% |
Biochemistry, Genetics and Molecular Biology | 1 | 10% |
Unspecified | 1 | 10% |
Economics, Econometrics and Finance | 1 | 10% |
Computer Science | 1 | 10% |
Other | 0 | 0% |
Unknown | 3 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 19 December 2022.
All research outputs
#15,303,349
of 26,180,771 outputs
Outputs from Frontiers in oncology
#4,217
of 22,919 outputs
Outputs of similar age
#203,924
of 496,462 outputs
Outputs of similar age from Frontiers in oncology
#261
of 1,500 outputs
Altmetric has tracked 26,180,771 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22,919 research outputs from this source. They receive a mean Attention Score of 3.1. 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 496,462 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 57% of its contemporaries.
We're also able to compare this research output to 1,500 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.