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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Generalization optimizing machine learning to improve CT scan radiomics and assess immune checkpoint inhibitors’ response in non-small cell lung cancer: a multicenter cohort study
|
|---|---|
| Published in |
Frontiers in oncology, July 2023
|
| DOI | 10.3389/fonc.2023.1196414 |
| Pubmed ID | |
| Authors |
Marion Tonneau, Kim Phan, Venkata S. K. Manem, Cecile Low-Kam, Francis Dutil, Suzanne Kazandjian, Davy Vanderweyen, Justin Panasci, Julie Malo, François Coulombe, Andréanne Gagné, Arielle Elkrief, Wiam Belkaïd, Lisa Di Jorio, Michele Orain, Nicole Bouchard, Thierry Muanza, Frank J. Rybicki, Kam Kafi, David Huntsman, Philippe Joubert, Florent Chandelier, Bertrand Routy |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 33% |
| Canada | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
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 % |
|---|---|---|
| Researcher | 2 | 20% |
| Student > Bachelor | 1 | 10% |
| Professor | 1 | 10% |
| Unknown | 6 | 60% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 1 | 10% |
| Business, Management and Accounting | 1 | 10% |
| Neuroscience | 1 | 10% |
| Engineering | 1 | 10% |
| Unknown | 6 | 60% |
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 31 July 2023.
All research outputs
#15,313,288
of 26,180,352 outputs
Outputs from Frontiers in oncology
#4,226
of 22,922 outputs
Outputs of similar age
#155,427
of 370,502 outputs
Outputs of similar age from Frontiers in oncology
#103
of 1,057 outputs
Altmetric has tracked 26,180,352 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22,922 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 370,502 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 1,057 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 90% of its contemporaries.