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Predicting neurological outcome after out-of-hospital cardiac arrest with cumulative information; development and internal validation of an artificial neural network algorithm

Overview of attention for article published in Critical Care, February 2021
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
13 X users
facebook
1 Facebook page

Citations

dimensions_citation
25 Dimensions

Readers on

mendeley
73 Mendeley
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Title
Predicting neurological outcome after out-of-hospital cardiac arrest with cumulative information; development and internal validation of an artificial neural network algorithm
Published in
Critical Care, February 2021
DOI 10.1186/s13054-021-03505-9
Pubmed ID
Authors

Peder Andersson, Jesper Johnsson, Ola Björnsson, Tobias Cronberg, Christian Hassager, Henrik Zetterberg, Pascal Stammet, Johan Undén, Jesper Kjaergaard, Hans Friberg, Kaj Blennow, Gisela Lilja, Matt P. Wise, Josef Dankiewicz, Niklas Nielsen, Attila Frigyesi

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 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 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 %
Researcher 13 18%
Student > Master 6 8%
Student > Bachelor 6 8%
Student > Ph. D. Student 5 7%
Student > Postgraduate 3 4%
Other 10 14%
Unknown 30 41%
Readers by discipline Count As %
Medicine and Dentistry 20 27%
Engineering 5 7%
Nursing and Health Professions 4 5%
Pharmacology, Toxicology and Pharmaceutical Science 2 3%
Unspecified 2 3%
Other 8 11%
Unknown 32 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 25 April 2021.
All research outputs
#5,496,406
of 25,837,817 outputs
Outputs from Critical Care
#3,501
of 6,627 outputs
Outputs of similar age
#130,539
of 453,980 outputs
Outputs of similar age from Critical Care
#72
of 105 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,627 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.8. This one is in the 47th percentile – i.e., 47% of its peers scored the same or lower than it.
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 453,980 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 71% of its contemporaries.
We're also able to compare this research output to 105 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.