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Development of a prognostic model of COVID-19 severity: a population-based cohort study in Iceland

Overview of attention for article published in Diagnostic and Prognostic Research, September 2022
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#50 of 113)
  • Good Attention Score compared to outputs of the same age (75th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

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10 X users

Citations

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3 Dimensions

Readers on

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7 Mendeley
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Title
Development of a prognostic model of COVID-19 severity: a population-based cohort study in Iceland
Published in
Diagnostic and Prognostic Research, September 2022
DOI 10.1186/s41512-022-00130-0
Pubmed ID
Authors

Elias Eythorsson, Valgerdur Bjarnadottir, Hrafnhildur Linnet Runolfsdottir, Dadi Helgason, Ragnar Freyr Ingvarsson, Helgi K. Bjornsson, Lovisa Bjork Olafsdottir, Solveig Bjarnadottir, Arnar Snaer Agustsson, Kristin Oskarsdottir, Hrafn Hliddal Thorvaldsson, Gudrun Kristjansdottir, Aron Hjalti Bjornsson, Arna R. Emilsdottir, Brynja Armannsdottir, Olafur Gudlaugsson, Sif Hansdottir, Magnus Gottfredsson, Agnar Bjarnason, Martin I. Sigurdsson, Olafur S. Indridason, Runolfur Palsson

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Librarian 1 14%
Other 1 14%
Student > Ph. D. Student 1 14%
Student > Master 1 14%
Student > Postgraduate 1 14%
Other 0 0%
Unknown 2 29%
Readers by discipline Count As %
Medicine and Dentistry 3 43%
Social Sciences 1 14%
Chemical Engineering 1 14%
Unknown 2 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 2023.
All research outputs
#5,715,655
of 23,573,357 outputs
Outputs from Diagnostic and Prognostic Research
#50
of 113 outputs
Outputs of similar age
#105,374
of 434,190 outputs
Outputs of similar age from Diagnostic and Prognostic Research
#1
of 6 outputs
Altmetric has tracked 23,573,357 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 113 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.1. This one has gotten more attention than average, scoring higher than 55% 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 434,190 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 75% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them