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Body composition as a predictor of chemotherapy-related toxicity in ovarian cancer patients: A systematic review

Overview of attention for article published in Frontiers in oncology, November 2022
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Mentioned by

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1 X user

Citations

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4 Dimensions

Readers on

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11 Mendeley
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Title
Body composition as a predictor of chemotherapy-related toxicity in ovarian cancer patients: A systematic review
Published in
Frontiers in oncology, November 2022
DOI 10.3389/fonc.2022.1057631
Pubmed ID
Authors

Stefania Rizzo, Giorgio Raia, Maria Del Grande, Maria Luisa Gasparri, Ilaria Colombo, Lucia Manganaro, Andrea Papadia, Filippo Del Grande

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Other 1 9%
Student > Ph. D. Student 1 9%
Student > Master 1 9%
Researcher 1 9%
Professor > Associate Professor 1 9%
Other 1 9%
Unknown 5 45%
Readers by discipline Count As %
Medicine and Dentistry 3 27%
Biochemistry, Genetics and Molecular Biology 1 9%
Unknown 7 64%
Attention Score in Context

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 21 November 2022.
All research outputs
#22,849,720
of 25,478,886 outputs
Outputs from Frontiers in oncology
#16,048
of 22,568 outputs
Outputs of similar age
#375,946
of 441,095 outputs
Outputs of similar age from Frontiers in oncology
#1,583
of 1,715 outputs
Altmetric has tracked 25,478,886 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22,568 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 1st percentile – i.e., 1% 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 441,095 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,715 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.