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Body Composition by Computed Tomography as a Predictor of Toxicity in Patients With Renal Cell Carcinoma Treated With Sunitinib

Overview of attention for article published in American Journal of Clinical Oncology: Cancer Clinical Trials, February 2017
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  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

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2 tweeters

Citations

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69 Dimensions

Readers on

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70 Mendeley
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Title
Body Composition by Computed Tomography as a Predictor of Toxicity in Patients With Renal Cell Carcinoma Treated With Sunitinib
Published in
American Journal of Clinical Oncology: Cancer Clinical Trials, February 2017
DOI 10.1097/coc.0000000000000061
Pubmed ID
Authors

Samantha J. Cushen, Derek G. Power, Min Y. Teo, Peter MacEneaney, Michael M. Maher, Ray McDermott, Kathleen O’Sullivan, Aoife M. Ryan

Abstract

Sunitinib is a standard first-line option for metastatic renal cell carcinoma (mRCC). Body composition is a prognostic factor in cancer patients and patients with loss of skeletal muscle mass and fat-free mass (FFM) are prone to dose-limiting toxicity (DLT) during targeted drug therapy. We investigated whether body composition by computed tomography predicted DLT from sunitinib in mRCC.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters 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 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 1%
Ireland 1 1%
Unknown 68 97%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 11 16%
Student > Master 10 14%
Student > Ph. D. Student 9 13%
Researcher 8 11%
Student > Postgraduate 5 7%
Other 9 13%
Unknown 18 26%
Readers by discipline Count As %
Medicine and Dentistry 32 46%
Nursing and Health Professions 4 6%
Agricultural and Biological Sciences 3 4%
Biochemistry, Genetics and Molecular Biology 2 3%
Computer Science 2 3%
Other 6 9%
Unknown 21 30%

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 04 April 2014.
All research outputs
#13,885,912
of 21,362,911 outputs
Outputs from American Journal of Clinical Oncology: Cancer Clinical Trials
#738
of 1,663 outputs
Outputs of similar age
#114,907
of 206,950 outputs
Outputs of similar age from American Journal of Clinical Oncology: Cancer Clinical Trials
#5
of 20 outputs
Altmetric has tracked 21,362,911 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,663 research outputs from this source. They receive a mean Attention Score of 2.9. This one has gotten more attention than average, scoring higher than 53% 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 206,950 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.