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Immune mechanisms underlying COVID-19 pathology and post-acute sequelae of SARS-CoV-2 infection (PASC)

Overview of attention for article published in eLife, May 2023
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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 (99th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
3 news outlets
blogs
3 blogs
twitter
544 X users

Citations

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20 Dimensions

Readers on

mendeley
49 Mendeley
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Title
Immune mechanisms underlying COVID-19 pathology and post-acute sequelae of SARS-CoV-2 infection (PASC)
Published in
eLife, May 2023
DOI 10.7554/elife.86014
Pubmed ID
Authors

Sindhu Mohandas, Prasanna Jagannathan, Timothy J Henrich, Zaki A Sherif, Christian Bime, Erin Quinlan, Michael A Portman, Marila Gennaro, Jalees Rehman, Steven B Bradfute, Benjamin K Chen, Thomas J Connors, K Coombs, Christian R Gomez, Boris D Julg, C Kim, W Brian Reeves

Abstract

With a global tally of more than 500 million cases of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections to date, there are growing concerns about the post-acute sequelae of SARS-CoV-2 infection (PASC), also known as long COVID. Recent studies suggest that exaggerated immune responses are key determinants of the severity and outcomes of the initial SARS-CoV-2 infection as well as subsequent PASC. The complexity of the innate and adaptive immune responses in the acute and post-acute period requires in-depth mechanistic analyses to identify specific molecular signals as well as specific immune cell populations which promote PASC pathogenesis. In this review, we examine the current literature on mechanisms of immune dysregulation in severe COVID-19 and the limited emerging data on the immunopathology of PASC. While the acute and post-acute phases may share some parallel mechanisms of immunopathology, it is likely that PASC immunopathology is quite distinct and heterogeneous, thus requiring large-scale longitudinal analyses in patients with and without PASC after an acute SARS-CoV-2 infection. By outlining the knowledge gaps in the immunopathology of PASC, we hope to provide avenues for novel research directions that will ultimately lead to precision therapies which restore healthy immune function in PASC patients.

X Demographics

X Demographics

The data shown below were collected from the profiles of 544 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 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 49 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 16%
Unspecified 7 14%
Researcher 6 12%
Student > Master 3 6%
Student > Bachelor 2 4%
Other 3 6%
Unknown 20 41%
Readers by discipline Count As %
Medicine and Dentistry 10 20%
Unspecified 7 14%
Immunology and Microbiology 4 8%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Biochemistry, Genetics and Molecular Biology 2 4%
Other 5 10%
Unknown 19 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 248. 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 22 January 2024.
All research outputs
#151,361
of 25,593,129 outputs
Outputs from eLife
#321
of 15,744 outputs
Outputs of similar age
#3,569
of 392,107 outputs
Outputs of similar age from eLife
#14
of 426 outputs
Altmetric has tracked 25,593,129 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 15,744 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 36.0. This one has done particularly well, scoring higher than 97% 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 392,107 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 99% of its contemporaries.
We're also able to compare this research output to 426 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 96% of its contemporaries.