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X Demographics
Mendeley readers
Attention Score in Context
Title |
Prognostic Value of Deep Learning-Mediated Treatment Monitoring in Lung Cancer Patients Receiving Immunotherapy
|
---|---|
Published in |
Frontiers in oncology, March 2021
|
DOI | 10.3389/fonc.2021.609054 |
Pubmed ID | |
Authors |
Stefano Trebeschi, Zuhir Bodalal, Thierry N. Boellaard, Teresa M. Tareco Bucho, Silvia G. Drago, Ieva Kurilova, Adriana M. Calin-Vainak, Andrea Delli Pizzi, Mirte Muller, Karlijn Hummelink, Koen J. Hartemink, Thi Dan Linh Nguyen-Kim, Egbert F. Smit, Hugo J. W. L. Aerts, Regina G. H. Beets-Tan |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Netherlands | 2 | 33% |
Unknown | 4 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 33% |
Practitioners (doctors, other healthcare professionals) | 2 | 33% |
Scientists | 1 | 17% |
Science communicators (journalists, bloggers, editors) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 36 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 7 | 19% |
Researcher | 4 | 11% |
Student > Bachelor | 3 | 8% |
Unspecified | 2 | 6% |
Student > Doctoral Student | 1 | 3% |
Other | 3 | 8% |
Unknown | 16 | 44% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 3 | 8% |
Computer Science | 3 | 8% |
Unspecified | 2 | 6% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
Biochemistry, Genetics and Molecular Biology | 1 | 3% |
Other | 7 | 19% |
Unknown | 19 | 53% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 26 December 2021.
All research outputs
#7,997,135
of 25,643,886 outputs
Outputs from Frontiers in oncology
#2,902
of 22,758 outputs
Outputs of similar age
#171,928
of 453,124 outputs
Outputs of similar age from Frontiers in oncology
#167
of 974 outputs
Altmetric has tracked 25,643,886 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 22,758 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done well, scoring higher than 87% 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 453,124 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 61% of its contemporaries.
We're also able to compare this research output to 974 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.