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A preliminary PET radiomics study of brain metastases using a fully automatic segmentation method

Overview of attention for article published in BMC Bioinformatics, September 2020
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2 X users

Citations

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37 Dimensions

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30 Mendeley
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Title
A preliminary PET radiomics study of brain metastases using a fully automatic segmentation method
Published in
BMC Bioinformatics, September 2020
DOI 10.1186/s12859-020-03647-7
Pubmed ID
Authors

Alessandro Stefano, Albert Comelli, Valentina Bravatà, Stefano Barone, Igor Daskalovski, Gaetano Savoca, Maria Gabriella Sabini, Massimo Ippolito, Giorgio Russo

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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 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 17%
Student > Bachelor 4 13%
Student > Master 3 10%
Student > Ph. D. Student 2 7%
Student > Postgraduate 2 7%
Other 3 10%
Unknown 11 37%
Readers by discipline Count As %
Medicine and Dentistry 5 17%
Computer Science 5 17%
Biochemistry, Genetics and Molecular Biology 3 10%
Agricultural and Biological Sciences 1 3%
Environmental Science 1 3%
Other 4 13%
Unknown 11 37%
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 17 September 2020.
All research outputs
#18,171,423
of 23,344,526 outputs
Outputs from BMC Bioinformatics
#6,065
of 7,387 outputs
Outputs of similar age
#268,768
of 377,085 outputs
Outputs of similar age from BMC Bioinformatics
#133
of 155 outputs
Altmetric has tracked 23,344,526 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,387 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. 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 377,085 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 155 others from the same source and published within six weeks on either side of this one. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.