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Feature selection and risk prediction for diabetic patients with ketoacidosis based on MIMIC-IV

Overview of attention for article published in Frontiers in endocrinology, March 2024
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

twitter
3 X users

Readers on

mendeley
11 Mendeley
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Title
Feature selection and risk prediction for diabetic patients with ketoacidosis based on MIMIC-IV
Published in
Frontiers in endocrinology, March 2024
DOI 10.3389/fendo.2024.1344277
Pubmed ID
Authors

Yang Liu, Wei Mo, He Wang, Zixin Shao, Yanping Zeng, Jianlu Bi

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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 2 18%
Professor 1 9%
Unknown 8 73%
Readers by discipline Count As %
Unspecified 2 18%
Agricultural and Biological Sciences 1 9%
Unknown 8 73%
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 28 March 2024.
All research outputs
#17,893,194
of 26,196,613 outputs
Outputs from Frontiers in endocrinology
#5,506
of 13,387 outputs
Outputs of similar age
#183,898
of 345,497 outputs
Outputs of similar age from Frontiers in endocrinology
#107
of 401 outputs
Altmetric has tracked 26,196,613 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,387 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. 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 345,497 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 401 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 66% of its contemporaries.