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Quantitative 18F-FDG PET-CT scan characteristics correlate with tuberculosis treatment response

Overview of attention for article published in EJNMMI Research, February 2020
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

Mentioned by

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5 X users

Citations

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28 Dimensions

Readers on

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61 Mendeley
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Title
Quantitative 18F-FDG PET-CT scan characteristics correlate with tuberculosis treatment response
Published in
EJNMMI Research, February 2020
DOI 10.1186/s13550-020-0591-9
Pubmed ID
Authors

Stephanus T. Malherbe, Ray Y. Chen, Patrick Dupont, Ilse Kant, Magdalena Kriel, André G. Loxton, Bronwyn Smith, Caroline G. G. Beltran, Susan van Zyl, Shirely McAnda, Charmaine Abrahams, Elizna Maasdorp, Alex Doruyter, Laura E. Via, Clifton E. Barry, David Alland, Stephanie Griffith- Richards, Annare Ellman, Thomas Peppard, John Belisle, Gerard Tromp, Katharina Ronacher, James M. Warwick, Jill Winter, Gerhard Walzl

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 61 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 16%
Researcher 8 13%
Student > Master 7 11%
Other 5 8%
Student > Postgraduate 4 7%
Other 7 11%
Unknown 20 33%
Readers by discipline Count As %
Medicine and Dentistry 14 23%
Engineering 4 7%
Biochemistry, Genetics and Molecular Biology 4 7%
Nursing and Health Professions 4 7%
Agricultural and Biological Sciences 4 7%
Other 8 13%
Unknown 23 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 14 February 2020.
All research outputs
#13,315,321
of 23,192,960 outputs
Outputs from EJNMMI Research
#189
of 567 outputs
Outputs of similar age
#210,138
of 455,714 outputs
Outputs of similar age from EJNMMI Research
#6
of 17 outputs
Altmetric has tracked 23,192,960 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 567 research outputs from this source. They receive a mean Attention Score of 2.5. This one has gotten more attention than average, scoring higher than 66% 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 455,714 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.
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 64% of its contemporaries.