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Reduced muscle mass as predictor of intensive care unit hospitalization in COVID-19 patients

Overview of attention for article published in PLOS ONE, June 2021
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

news
1 news outlet
twitter
70 X users
facebook
1 Facebook page

Citations

dimensions_citation
35 Dimensions

Readers on

mendeley
73 Mendeley
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Title
Reduced muscle mass as predictor of intensive care unit hospitalization in COVID-19 patients
Published in
PLOS ONE, June 2021
DOI 10.1371/journal.pone.0253433
Pubmed ID
Authors

Chiara Giraudo, Giovanni Librizzi, Giulia Fichera, Raffaella Motta, Elisabetta Balestro, Fiorella Calabrese, Giovanni Carretta, Anna Maria Cattelan, Paolo Navalesi, Michela Pelloso, Mario Plebani, Federico Rea, Roberto Vettor, Andrea Vianello, Roberto Stramare

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 70 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 73 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 13 18%
Student > Master 7 10%
Other 6 8%
Researcher 5 7%
Student > Doctoral Student 4 5%
Other 9 12%
Unknown 29 40%
Readers by discipline Count As %
Medicine and Dentistry 19 26%
Nursing and Health Professions 9 12%
Agricultural and Biological Sciences 3 4%
Sports and Recreations 2 3%
Arts and Humanities 1 1%
Other 5 7%
Unknown 34 47%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 59. 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 08 December 2021.
All research outputs
#781,735
of 26,802,760 outputs
Outputs from PLOS ONE
#10,135
of 234,420 outputs
Outputs of similar age
#20,080
of 464,415 outputs
Outputs of similar age from PLOS ONE
#190
of 2,916 outputs
Altmetric has tracked 26,802,760 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 234,420 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.0. This one has done particularly well, scoring higher than 95% 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 464,415 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 2,916 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.