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Identification of Pre-frailty Sub-Phenotypes in Elderly Using Metabolomics

Overview of attention for article published in Frontiers in Physiology, January 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

twitter
22 X users

Citations

dimensions_citation
43 Dimensions

Readers on

mendeley
94 Mendeley
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Title
Identification of Pre-frailty Sub-Phenotypes in Elderly Using Metabolomics
Published in
Frontiers in Physiology, January 2019
DOI 10.3389/fphys.2018.01903
Pubmed ID
Authors

Estelle Pujos-Guillot, Mélanie Pétéra, Jérémie Jacquemin, Delphine Centeno, Bernard Lyan, Ivan Montoliu, Dawid Madej, Barbara Pietruszka, Cristina Fabbri, Aurelia Santoro, Anna Brzozowska, Claudio Franceschi, Blandine Comte

X Demographics

X Demographics

The data shown below were collected from the profiles of 22 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 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 94 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 17%
Student > Master 11 12%
Researcher 7 7%
Student > Postgraduate 7 7%
Student > Bachelor 6 6%
Other 15 16%
Unknown 32 34%
Readers by discipline Count As %
Medicine and Dentistry 20 21%
Nursing and Health Professions 8 9%
Biochemistry, Genetics and Molecular Biology 7 7%
Agricultural and Biological Sciences 5 5%
Neuroscience 4 4%
Other 14 15%
Unknown 36 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 17 April 2019.
All research outputs
#2,211,592
of 23,577,654 outputs
Outputs from Frontiers in Physiology
#1,222
of 14,285 outputs
Outputs of similar age
#53,855
of 440,443 outputs
Outputs of similar age from Frontiers in Physiology
#50
of 391 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,285 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has done particularly well, scoring higher than 91% 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 440,443 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 87% of its contemporaries.
We're also able to compare this research output to 391 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.