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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Concept for individualized patient allocation: ReCompare—remote comparison of particle and photon treatment plans
|
|---|---|
| Published in |
Radiation Oncology, February 2014
|
| DOI | 10.1186/1748-717x-9-59 |
| Pubmed ID | |
| Authors |
Armin Lühr, Steffen Löck, Klaus Roth, Stephan Helmbrecht, Annika Jakobi, Jørgen B Petersen, Uwe Just, Mechthild Krause, Wolfgang Enghardt, Michael Baumann |
| Abstract |
Identifying those patients who have a higher chance to be cured with fewer side effects by particle beam therapy than by state-of-the-art photon therapy is essential to guarantee a fair and sufficient access to specialized radiotherapy. The individualized identification requires initiatives by particle as well as non-particle radiotherapy centers to form networks, to establish procedures for the decision process, and to implement means for the remote exchange of relevant patient information. In this work, we want to contribute a practical concept that addresses these requirements. |
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 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| Germany | 1 | 2% |
| Unknown | 42 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 16% |
| Student > Ph. D. Student | 7 | 16% |
| Student > Master | 6 | 14% |
| Other | 5 | 11% |
| Professor > Associate Professor | 3 | 7% |
| Other | 8 | 18% |
| Unknown | 8 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 18% |
| Physics and Astronomy | 5 | 11% |
| Psychology | 4 | 9% |
| Computer Science | 4 | 9% |
| Social Sciences | 3 | 7% |
| Other | 9 | 20% |
| Unknown | 11 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 15 August 2017.
All research outputs
#6,469,399
of 22,953,506 outputs
Outputs from Radiation Oncology
#307
of 2,065 outputs
Outputs of similar age
#62,452
of 224,455 outputs
Outputs of similar age from Radiation Oncology
#12
of 64 outputs
Altmetric has tracked 22,953,506 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 2,065 research outputs from this source. They receive a mean Attention Score of 2.7. This one has done well, scoring higher than 84% 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 224,455 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 70% of its contemporaries.
We're also able to compare this research output to 64 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.