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Spinal cord hypermetabolism extends to skeletal muscle in amyotrophic lateral sclerosis: a computational approach to [18F]-fluorodeoxyglucose PET/CT images

Overview of attention for article published in EJNMMI Research, March 2020
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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 (73rd percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

news
1 news outlet

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
42 Mendeley
Title
Spinal cord hypermetabolism extends to skeletal muscle in amyotrophic lateral sclerosis: a computational approach to [18F]-fluorodeoxyglucose PET/CT images
Published in
EJNMMI Research, March 2020
DOI 10.1186/s13550-020-0607-5
Pubmed ID
Authors

Matteo Bauckneht, Rita Lai, Alberto Miceli, Daniela Schenone, Vanessa Cossu, Maria Isabella Donegani, Stefano Raffa, Anna Borra, Stefano Marra, Cristina Campi, Annamaria Orengo, Anna Maria Massone, Alberto Tagliafico, Claudia Caponnetto, Corrado Cabona, Angelina Cistaro, Adriano Chiò, Silvia Morbelli, Flavio Nobili, Gianmario Sambuceti, Michele Piana, Cecilia Marini

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 21%
Researcher 9 21%
Lecturer 2 5%
Unspecified 2 5%
Professor > Associate Professor 2 5%
Other 4 10%
Unknown 14 33%
Readers by discipline Count As %
Medicine and Dentistry 8 19%
Biochemistry, Genetics and Molecular Biology 2 5%
Neuroscience 2 5%
Nursing and Health Professions 1 2%
Agricultural and Biological Sciences 1 2%
Other 9 21%
Unknown 19 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 27 March 2020.
All research outputs
#4,265,304
of 23,199,478 outputs
Outputs from EJNMMI Research
#56
of 567 outputs
Outputs of similar age
#92,867
of 368,017 outputs
Outputs of similar age from EJNMMI Research
#3
of 23 outputs
Altmetric has tracked 23,199,478 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 567 research outputs from this source. They receive a mean Attention Score of 2.5. This one has done well, scoring higher than 86% 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 368,017 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 73% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.