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Automated Pupillometry for Prediction of Electroencephalographic Reactivity in Critically Ill Patients: A Prospective Cohort Study

Overview of attention for article published in Frontiers in Neurology, March 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

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5 X users

Citations

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7 Dimensions

Readers on

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12 Mendeley
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Title
Automated Pupillometry for Prediction of Electroencephalographic Reactivity in Critically Ill Patients: A Prospective Cohort Study
Published in
Frontiers in Neurology, March 2022
DOI 10.3389/fneur.2022.867603
Pubmed ID
Authors

Lorenzo Peluso, Lorenzo Ferlini, Marta Talamonti, Narcisse Ndieugnou Djangang, Elisa Gouvea Bogossian, Marco Menozzi, Filippo Annoni, Elisabetta Macchini, Benjamin Legros, Paolo Severgnini, Jacques Creteur, Mauro Oddo, Jean-Louis Vincent, Nicolas Gaspard, Fabio Silvio Taccone

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 3 25%
Student > Bachelor 1 8%
Other 1 8%
Student > Master 1 8%
Unknown 6 50%
Readers by discipline Count As %
Medicine and Dentistry 4 33%
Nursing and Health Professions 1 8%
Unknown 7 58%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 March 2022.
All research outputs
#13,804,659
of 23,393,453 outputs
Outputs from Frontiers in Neurology
#5,411
of 12,317 outputs
Outputs of similar age
#192,082
of 440,496 outputs
Outputs of similar age from Frontiers in Neurology
#216
of 791 outputs
Altmetric has tracked 23,393,453 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,317 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one has gotten more attention than average, scoring higher than 54% 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 440,496 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 54% of its contemporaries.
We're also able to compare this research output to 791 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 71% of its contemporaries.