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Predicting malignant potential of subsolid nodules: can radiomics preempt longitudinal follow up CT?

Overview of attention for article published in Cancer Imaging, June 2019
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

Mentioned by

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2 X users

Citations

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37 Dimensions

Readers on

mendeley
34 Mendeley
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Title
Predicting malignant potential of subsolid nodules: can radiomics preempt longitudinal follow up CT?
Published in
Cancer Imaging, June 2019
DOI 10.1186/s40644-019-0223-7
Pubmed ID
Authors

Subba R. Digumarthy, Atul M. Padole, Shivam Rastogi, Melissa Price, Meghan J. Mooradian, Lecia V. Sequist, Mannudeep K. Kalra

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

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 15%
Student > Master 4 12%
Other 3 9%
Unspecified 3 9%
Researcher 2 6%
Other 6 18%
Unknown 11 32%
Readers by discipline Count As %
Medicine and Dentistry 9 26%
Unspecified 3 9%
Physics and Astronomy 3 9%
Biochemistry, Genetics and Molecular Biology 2 6%
Computer Science 1 3%
Other 2 6%
Unknown 14 41%
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 11 November 2019.
All research outputs
#16,588,625
of 25,385,509 outputs
Outputs from Cancer Imaging
#269
of 674 outputs
Outputs of similar age
#219,722
of 368,256 outputs
Outputs of similar age from Cancer Imaging
#12
of 29 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 674 research outputs from this source. They receive a mean Attention Score of 2.4. 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 368,256 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.