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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Deep learning method for prediction of patient-specific dose distribution in breast cancer
|
|---|---|
| Published in |
Radiation Oncology, August 2021
|
| DOI | 10.1186/s13014-021-01864-9 |
| Pubmed ID | |
| Authors |
Sang Hee Ahn, EunSook Kim, Chankyu Kim, Wonjoong Cheon, Myeongsoo Kim, Se Byeong Lee, Young Kyung Lim, Haksoo Kim, Dongho Shin, Dae Yong Kim, Jong Hwi Jeong |
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 % |
|---|---|---|
| Ukraine | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 78 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 12% |
| Student > Ph. D. Student | 6 | 8% |
| Other | 5 | 6% |
| Student > Master | 4 | 5% |
| Student > Bachelor | 3 | 4% |
| Other | 4 | 5% |
| Unknown | 47 | 60% |
| Readers by discipline | Count | As % |
|---|---|---|
| Physics and Astronomy | 9 | 12% |
| Engineering | 6 | 8% |
| Computer Science | 5 | 6% |
| Medicine and Dentistry | 5 | 6% |
| Psychology | 1 | 1% |
| Other | 3 | 4% |
| Unknown | 49 | 63% |
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 18 August 2021.
All research outputs
#13,673,795
of 23,310,485 outputs
Outputs from Radiation Oncology
#654
of 2,092 outputs
Outputs of similar age
#189,975
of 432,529 outputs
Outputs of similar age from Radiation Oncology
#15
of 50 outputs
Altmetric has tracked 23,310,485 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 2,092 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 68% 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 432,529 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 55% of its contemporaries.
We're also able to compare this research output to 50 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.