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Early diagnosis of sepsis using an E-health application for a clinical early warning system outside of the intensive care unit: a case report

Overview of attention for article published in Journal of Medical Case Reports, May 2022
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Mentioned by

twitter
1 X user

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
48 Mendeley
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Title
Early diagnosis of sepsis using an E-health application for a clinical early warning system outside of the intensive care unit: a case report
Published in
Journal of Medical Case Reports, May 2022
DOI 10.1186/s13256-022-03385-9
Pubmed ID
Authors

Daniel Aiham Ghazali, Philippe Kenway, Christophe Choquet, Enrique Casalino

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 48 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 10%
Student > Ph. D. Student 5 10%
Researcher 3 6%
Unspecified 3 6%
Student > Bachelor 2 4%
Other 4 8%
Unknown 26 54%
Readers by discipline Count As %
Nursing and Health Professions 6 13%
Medicine and Dentistry 5 10%
Unspecified 3 6%
Computer Science 3 6%
Sports and Recreations 1 2%
Other 3 6%
Unknown 27 56%
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 May 2022.
All research outputs
#21,081,594
of 23,726,221 outputs
Outputs from Journal of Medical Case Reports
#3,577
of 4,116 outputs
Outputs of similar age
#360,749
of 444,020 outputs
Outputs of similar age from Journal of Medical Case Reports
#123
of 133 outputs
Altmetric has tracked 23,726,221 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,116 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 1st percentile – i.e., 1% 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 444,020 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 133 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.