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Using neighborhood gray tone difference matrix texture features on dual time point PET/CT images to differentiate malignant from benign FDG-avid solitary pulmonary nodules

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

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
36 Dimensions

Readers on

mendeley
33 Mendeley
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Title
Using neighborhood gray tone difference matrix texture features on dual time point PET/CT images to differentiate malignant from benign FDG-avid solitary pulmonary nodules
Published in
Cancer Imaging, August 2019
DOI 10.1186/s40644-019-0243-3
Pubmed ID
Authors

Song Chen, Stephanie Harmon, Timothy Perk, Xuena Li, Meijie Chen, Yaming Li, Robert Jeraj

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 6 18%
Student > Postgraduate 4 12%
Student > Doctoral Student 3 9%
Student > Master 3 9%
Student > Ph. D. Student 3 9%
Other 8 24%
Unknown 6 18%
Readers by discipline Count As %
Medicine and Dentistry 14 42%
Computer Science 3 9%
Unspecified 2 6%
Physics and Astronomy 2 6%
Biochemistry, Genetics and Molecular Biology 1 3%
Other 4 12%
Unknown 7 21%
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 10 November 2019.
All research outputs
#15,992,387
of 25,385,509 outputs
Outputs from Cancer Imaging
#237
of 674 outputs
Outputs of similar age
#190,835
of 338,412 outputs
Outputs of similar age from Cancer Imaging
#5
of 17 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 36th percentile – i.e., 36% 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 64% 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 338,412 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 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 70% of its contemporaries.