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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Atlas-based automatic segmentation of head and neck organs at risk and nodal target volumes: a clinical validation
|
|---|---|
| Published in |
Radiation Oncology, June 2013
|
| DOI | 10.1186/1748-717x-8-154 |
| Pubmed ID | |
| Authors |
Jean-François Daisne, Andreas Blumhofer |
| Abstract |
Intensity modulated radiotherapy for head and neck cancer necessitates accurate definition of organs at risk (OAR) and clinical target volumes (CTV). This crucial step is time consuming and prone to inter- and intra-observer variations. Automatic segmentation by atlas deformable registration may help to reduce time and variations. We aim to test a new commercial atlas algorithm for automatic segmentation of OAR and CTV in both ideal and clinical conditions. |
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 % |
|---|---|---|
| Unknown | 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 129 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| Netherlands | 1 | <1% |
| Belgium | 1 | <1% |
| Unknown | 126 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 21 | 16% |
| Other | 20 | 16% |
| Researcher | 20 | 16% |
| Student > Master | 15 | 12% |
| Student > Bachelor | 14 | 11% |
| Other | 21 | 16% |
| Unknown | 18 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 39 | 30% |
| Physics and Astronomy | 26 | 20% |
| Engineering | 12 | 9% |
| Computer Science | 11 | 9% |
| Agricultural and Biological Sciences | 5 | 4% |
| Other | 13 | 10% |
| Unknown | 23 | 18% |
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 27 June 2013.
All research outputs
#15,274,055
of 22,713,403 outputs
Outputs from Radiation Oncology
#1,039
of 2,046 outputs
Outputs of similar age
#121,461
of 196,368 outputs
Outputs of similar age from Radiation Oncology
#18
of 41 outputs
Altmetric has tracked 22,713,403 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 196,368 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 41 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.