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Identifying encephalopathy in patients admitted to an intensive care unit: Going beyond structured information using natural language processing

Overview of attention for article published in Frontiers in Digital Health, January 2023
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  • Average Attention Score compared to outputs of the same age

Mentioned by

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3 X users

Readers on

mendeley
28 Mendeley
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Title
Identifying encephalopathy in patients admitted to an intensive care unit: Going beyond structured information using natural language processing
Published in
Frontiers in Digital Health, January 2023
DOI 10.3389/fdgth.2023.1085602
Pubmed ID
Authors

Helena Ariño, Soo Kyung Bae, Jaya Chaturvedi, Tao Wang, Angus Roberts

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 29%
Unspecified 3 11%
Researcher 2 7%
Student > Doctoral Student 1 4%
Other 1 4%
Other 2 7%
Unknown 11 39%
Readers by discipline Count As %
Social Sciences 7 25%
Unspecified 3 11%
Engineering 2 7%
Neuroscience 2 7%
Agricultural and Biological Sciences 1 4%
Other 2 7%
Unknown 11 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 09 February 2023.
All research outputs
#15,692,595
of 23,318,744 outputs
Outputs from Frontiers in Digital Health
#437
of 579 outputs
Outputs of similar age
#206,373
of 397,632 outputs
Outputs of similar age from Frontiers in Digital Health
#38
of 52 outputs
Altmetric has tracked 23,318,744 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 579 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.4. This one is in the 16th percentile – i.e., 16% 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 397,632 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 52 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.