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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Fully automated brain resection cavity delineation for radiation target volume definition in glioblastoma patients using deep learning
|
|---|---|
| Published in |
Radiation Oncology, May 2020
|
| DOI | 10.1186/s13014-020-01553-z |
| Pubmed ID | |
| Authors |
Ekin Ermiş, Alain Jungo, Robert Poel, Marcela Blatti-Moreno, Raphael Meier, Urspeter Knecht, Daniel M. Aebersold, Michael K. Fix, Peter Manser, Mauricio Reyes, Evelyn Herrmann |
X Demographics
The data shown below were collected from the profiles of 2 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 | 50% |
| United States | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 84 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 12% |
| Student > Ph. D. Student | 9 | 11% |
| Student > Bachelor | 8 | 10% |
| Student > Doctoral Student | 6 | 7% |
| Other | 6 | 7% |
| Other | 15 | 18% |
| Unknown | 30 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 14 | 17% |
| Computer Science | 11 | 13% |
| Engineering | 7 | 8% |
| Physics and Astronomy | 3 | 4% |
| Agricultural and Biological Sciences | 2 | 2% |
| Other | 8 | 10% |
| Unknown | 39 | 46% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 21 June 2020.
All research outputs
#14,481,137
of 23,206,358 outputs
Outputs from Radiation Oncology
#820
of 2,086 outputs
Outputs of similar age
#213,185
of 382,493 outputs
Outputs of similar age from Radiation Oncology
#25
of 55 outputs
Altmetric has tracked 23,206,358 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,086 research outputs from this source. They receive a mean Attention Score of 2.8. This one has gotten more attention than average, scoring higher than 56% 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 382,493 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 55 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.