↓ Skip to main content

Systematic evaluation of three different commercial software solutions for automatic segmentation for adaptive therapy in head-and-neck, prostate and pleural cancer

Overview of attention for article published in Radiation Oncology, January 2012
Altmetric Badge

Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
84 Dimensions

Readers on

mendeley
131 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Systematic evaluation of three different commercial software solutions for automatic segmentation for adaptive therapy in head-and-neck, prostate and pleural cancer
Published in
Radiation Oncology, January 2012
DOI 10.1186/1748-717x-7-160
Pubmed ID
Authors

Mariangela La Macchia, Francesco Fellin, Maurizio Amichetti, Marco Cianchetti, Stefano Gianolini, Vitali Paola, Antony J Lomax, Lamberto Widesott

Abstract

To validate, in the context of adaptive radiotherapy, three commercial software solutions for atlas-based segmentation.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 131 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Belgium 2 2%
Netherlands 1 <1%
United Kingdom 1 <1%
Austria 1 <1%
Unknown 126 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 31 24%
Other 24 18%
Student > Ph. D. Student 22 17%
Student > Master 22 17%
Student > Doctoral Student 6 5%
Other 18 14%
Unknown 8 6%
Readers by discipline Count As %
Medicine and Dentistry 46 35%
Physics and Astronomy 35 27%
Computer Science 11 8%
Engineering 9 7%
Nursing and Health Professions 4 3%
Other 9 7%
Unknown 17 13%

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 20 September 2012.
All research outputs
#9,956,834
of 12,437,730 outputs
Outputs from Radiation Oncology
#974
of 1,302 outputs
Outputs of similar age
#90,102
of 127,102 outputs
Outputs of similar age from Radiation Oncology
#6
of 7 outputs
Altmetric has tracked 12,437,730 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,302 research outputs from this source. They receive a mean Attention Score of 2.3. This one is in the 12th percentile – i.e., 12% 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 127,102 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one.