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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Accuracy of deformable image registration for contour propagation in adaptive lung radiotherapy
|
|---|---|
| Published in |
Radiation Oncology, October 2013
|
| DOI | 10.1186/1748-717x-8-243 |
| Pubmed ID | |
| Authors |
Nicholas Hardcastle, Wouter van Elmpt, Dirk De Ruysscher, Karl Bzdusek, Wolfgang A Tomé |
| Abstract |
Deformable image registration (DIR) is an attractive method for automatic propagation of regions of interest (ROIs) in adaptive lung radiotherapy. This study investigates DIR for automatic contour propagation in adaptive Non Small Cell Lung Carcinoma patients. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 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 % |
|---|---|---|
| Japan | 1 | 1% |
| United States | 1 | 1% |
| India | 1 | 1% |
| France | 1 | 1% |
| Unknown | 80 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 21 | 25% |
| Researcher | 17 | 20% |
| Student > Master | 12 | 14% |
| Student > Postgraduate | 6 | 7% |
| Student > Bachelor | 5 | 6% |
| Other | 13 | 15% |
| Unknown | 10 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 27 | 32% |
| Physics and Astronomy | 20 | 24% |
| Computer Science | 12 | 14% |
| Engineering | 8 | 10% |
| Nursing and Health Professions | 3 | 4% |
| Other | 4 | 5% |
| Unknown | 10 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 19 October 2013.
All research outputs
#15,283,138
of 22,727,570 outputs
Outputs from Radiation Oncology
#1,039
of 2,046 outputs
Outputs of similar age
#130,677
of 211,746 outputs
Outputs of similar age from Radiation Oncology
#39
of 67 outputs
Altmetric has tracked 22,727,570 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,046 research outputs from this source. They receive a mean Attention Score of 2.7. This one is in the 37th percentile – i.e., 37% of its peers scored the same or lower than it.
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 211,746 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 67 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.