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Long COVID: Clinical Framing, Biomarkers, and Therapeutic Approaches

Overview of attention for article published in Journal of Personalized Medicine, February 2023
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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 (82nd percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

blogs
1 blog
twitter
2 X users
reddit
1 Redditor

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
53 Mendeley
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Title
Long COVID: Clinical Framing, Biomarkers, and Therapeutic Approaches
Published in
Journal of Personalized Medicine, February 2023
DOI 10.3390/jpm13020334
Pubmed ID
Authors

Valeria Conti, Graziamaria Corbi, Francesco Sabbatino, Domenico De Pascale, Carmine Sellitto, Berenice Stefanelli, Nicola Bertini, Matteo De Simone, Luigi Liguori, Ilenia Di Paola, Maddalena De Bernardo, Angela Tesse, Nicola Rosa, Pasquale Pagliano, Amelia Filippelli

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 53 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 13%
Student > Bachelor 4 8%
Student > Doctoral Student 4 8%
Other 2 4%
Student > Postgraduate 2 4%
Other 5 9%
Unknown 29 55%
Readers by discipline Count As %
Medicine and Dentistry 8 15%
Neuroscience 3 6%
Engineering 3 6%
Immunology and Microbiology 2 4%
Psychology 2 4%
Other 5 9%
Unknown 30 57%
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 28 February 2023.
All research outputs
#4,242,075
of 25,387,668 outputs
Outputs from Journal of Personalized Medicine
#414
of 3,311 outputs
Outputs of similar age
#87,333
of 499,600 outputs
Outputs of similar age from Journal of Personalized Medicine
#22
of 220 outputs
Altmetric has tracked 25,387,668 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 3,311 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one has done well, scoring higher than 87% 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 499,600 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 82% of its contemporaries.
We're also able to compare this research output to 220 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 90% of its contemporaries.