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Hyperchloremia in critically ill patients: association with outcomes and prediction using electronic health record data

Overview of attention for article published in BMC Medical Informatics and Decision Making, December 2020
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 tweeters

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
16 Mendeley
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Title
Hyperchloremia in critically ill patients: association with outcomes and prediction using electronic health record data
Published in
BMC Medical Informatics and Decision Making, December 2020
DOI 10.1186/s12911-020-01326-4
Pubmed ID
Authors

Pete Yeh, Yiheng Pan, L. Nelson Sanchez-Pinto, Yuan Luo

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 31%
Student > Master 4 25%
Student > Bachelor 1 6%
Researcher 1 6%
Professor > Associate Professor 1 6%
Other 1 6%
Unknown 3 19%
Readers by discipline Count As %
Medicine and Dentistry 5 31%
Computer Science 3 19%
Pharmacology, Toxicology and Pharmaceutical Science 1 6%
Economics, Econometrics and Finance 1 6%
Nursing and Health Professions 1 6%
Other 1 6%
Unknown 4 25%

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 13 January 2021.
All research outputs
#11,442,910
of 18,209,496 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,066
of 1,651 outputs
Outputs of similar age
#239,166
of 416,649 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#99
of 168 outputs
Altmetric has tracked 18,209,496 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,651 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one is in the 32nd percentile – i.e., 32% 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 416,649 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 168 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.