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Pretreatment SUVmax predicts progression-free survival in early-stage non-small cell lung cancer treated with stereotactic body radiation therapy

Overview of attention for article published in Radiation Oncology, January 2014
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Mentioned by

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2 X users

Citations

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44 Dimensions

Readers on

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53 Mendeley
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Title
Pretreatment SUVmax predicts progression-free survival in early-stage non-small cell lung cancer treated with stereotactic body radiation therapy
Published in
Radiation Oncology, January 2014
DOI 10.1186/1748-717x-9-41
Pubmed ID
Authors

Zachary D Horne, David A Clump, John A Vargo, Samir Shah, Sushil Beriwal, Steven A Burton, Annette E Quinn, Matthew J Schuchert, Rodney J Landreneau, Neil A Christie, James D Luketich, Dwight E Heron

Abstract

This retrospective study aims to assess the usefulness of SUV(max) from FDG-PET imaging as a prognosticator for primary biopsy-proven stage I NSCLC treated with SBRT.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Belgium 1 2%
Brazil 1 2%
Unknown 51 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 17%
Student > Doctoral Student 6 11%
Other 5 9%
Student > Master 5 9%
Researcher 5 9%
Other 7 13%
Unknown 16 30%
Readers by discipline Count As %
Medicine and Dentistry 22 42%
Physics and Astronomy 4 8%
Computer Science 2 4%
Nursing and Health Professions 2 4%
Mathematics 1 2%
Other 1 2%
Unknown 21 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 31 January 2014.
All research outputs
#14,188,008
of 22,741,406 outputs
Outputs from Radiation Oncology
#805
of 2,049 outputs
Outputs of similar age
#173,012
of 307,435 outputs
Outputs of similar age from Radiation Oncology
#37
of 61 outputs
Altmetric has tracked 22,741,406 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,049 research outputs from this source. They receive a mean Attention Score of 2.7. This one has gotten more attention than average, scoring higher than 56% 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 307,435 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 61 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.