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Divergent COVID-19 Disease Trajectories Predicted by a DAMP-Centered Immune Network Model

Overview of attention for article published in Frontiers in immunology, October 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

Mentioned by

twitter
6 X users

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
48 Mendeley
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Title
Divergent COVID-19 Disease Trajectories Predicted by a DAMP-Centered Immune Network Model
Published in
Frontiers in immunology, October 2021
DOI 10.3389/fimmu.2021.754127
Pubmed ID
Authors

Judy D. Day, Soojin Park, Benjamin L. Ranard, Harinder Singh, Carson C. Chow, Yoram Vodovotz

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 48 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 9 19%
Student > Master 4 8%
Researcher 3 6%
Lecturer 3 6%
Other 2 4%
Other 2 4%
Unknown 25 52%
Readers by discipline Count As %
Medicine and Dentistry 8 17%
Biochemistry, Genetics and Molecular Biology 2 4%
Arts and Humanities 2 4%
Nursing and Health Professions 2 4%
Social Sciences 2 4%
Other 4 8%
Unknown 28 58%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 04 November 2021.
All research outputs
#8,192,846
of 25,392,582 outputs
Outputs from Frontiers in immunology
#9,922
of 31,541 outputs
Outputs of similar age
#156,072
of 442,599 outputs
Outputs of similar age from Frontiers in immunology
#506
of 1,493 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 31,541 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one has gotten more attention than average, scoring higher than 67% 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 442,599 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 64% of its contemporaries.
We're also able to compare this research output to 1,493 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.