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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A CT-based radiomics classification model for the prediction of histological type and tumour grade in retroperitoneal sarcoma (RADSARC-R): a retrospective multicohort analysis
|
|---|---|
| Published in |
Lancet Oncology, November 2023
|
| DOI | 10.1016/s1470-2045(23)00462-x |
| Pubmed ID | |
| Authors |
Amani Arthur, Matthew R Orton, Robby Emsley, Sharon Vit, Christian Kelly-Morland, Dirk Strauss, Jason Lunn, Simon Doran, Hafida Lmalem, Axelle Nzokirantevye, Saskia Litiere, Sylvie Bonvalot, Rick Haas, Alessandro Gronchi, Dirk Van Gestel, Anne Ducassou, Chandrajit P Raut, Pierre Meeus, Mateusz Spalek, Matthew Hatton, Cecile Le Pechoux, Khin Thway, Cyril Fisher, Robin Jones, Paul H Huang, Christina Messiou |
X Demographics
The data shown below were collected from the profiles of 50 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 Kingdom | 15 | 30% |
| United States | 6 | 12% |
| Italy | 3 | 6% |
| Australia | 2 | 4% |
| Poland | 2 | 4% |
| Singapore | 1 | 2% |
| Japan | 1 | 2% |
| Spain | 1 | 2% |
| Chile | 1 | 2% |
| Other | 3 | 6% |
| Unknown | 15 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 26 | 52% |
| Scientists | 13 | 26% |
| Practitioners (doctors, other healthcare professionals) | 8 | 16% |
| Science communicators (journalists, bloggers, editors) | 3 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 19 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 32% |
| Unspecified | 3 | 16% |
| Student > Doctoral Student | 1 | 5% |
| Student > Master | 1 | 5% |
| Unknown | 8 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 21% |
| Unspecified | 2 | 11% |
| Computer Science | 2 | 11% |
| Engineering | 2 | 11% |
| Unknown | 9 | 47% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1470. 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 09 December 2023.
All research outputs
#8,339
of 25,806,763 outputs
Outputs from Lancet Oncology
#11
of 6,943 outputs
Outputs of similar age
#183
of 365,395 outputs
Outputs of similar age from Lancet Oncology
#2
of 106 outputs
Altmetric has tracked 25,806,763 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,943 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 35.5. This one has done particularly well, scoring higher than 99% 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 365,395 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 99% of its contemporaries.
We're also able to compare this research output to 106 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.