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Lugano 2014 criteria for assessing FDG-PET/CT in lymphoma: an operational approach for clinical trials

Overview of attention for article published in Drug Design, Development and Therapy, June 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

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4 X users
patent
2 patents
facebook
1 Facebook page

Citations

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71 Dimensions

Readers on

mendeley
90 Mendeley
Title
Lugano 2014 criteria for assessing FDG-PET/CT in lymphoma: an operational approach for clinical trials
Published in
Drug Design, Development and Therapy, June 2017
DOI 10.2147/dddt.s136988
Pubmed ID
Authors

Ronald L Van Heertum, Robert Scarimbolo, John G Wolodzko, Barbara Klencke, Richard Messmann, Feza Tunc, Levi Sokol, Rajan Agarwal, James A Strafaci, Michael O’Neal

Abstract

An operationalized workflow paradigm is presented and validated with pilot subject data. This approach is reproducible with a high concordance rate between individual readers (kappa 0.73 [confidence interval 0.59-0.87; P=<0.0001]) using a 5-point scale to assess [(18)F] labeled fluorodeoxyglucose metabolic activity in lymphomatous lesions. These results suggest an operationally practical 5-point scale workflow paradigm for potential use in larger clinical trials evaluating lymphoma therapeutics.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 90 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 14 16%
Other 9 10%
Researcher 8 9%
Student > Ph. D. Student 7 8%
Student > Doctoral Student 6 7%
Other 19 21%
Unknown 27 30%
Readers by discipline Count As %
Medicine and Dentistry 40 44%
Agricultural and Biological Sciences 3 3%
Computer Science 3 3%
Engineering 3 3%
Biochemistry, Genetics and Molecular Biology 2 2%
Other 5 6%
Unknown 34 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 30 August 2022.
All research outputs
#4,326,480
of 25,604,262 outputs
Outputs from Drug Design, Development and Therapy
#267
of 2,271 outputs
Outputs of similar age
#70,981
of 331,069 outputs
Outputs of similar age from Drug Design, Development and Therapy
#5
of 44 outputs
Altmetric has tracked 25,604,262 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,271 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one has done well, scoring higher than 88% 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 331,069 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.