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IMP-ICDX: an injury mortality prediction based on ICD-10-CM codes

Overview of attention for article published in World Journal of Emergency Surgery, October 2019
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Mentioned by

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1 X user

Citations

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Readers on

mendeley
13 Mendeley
Title
IMP-ICDX: an injury mortality prediction based on ICD-10-CM codes
Published in
World Journal of Emergency Surgery, October 2019
DOI 10.1186/s13017-019-0265-y
Pubmed ID
Authors

Muding Wang, Wusi Qiu, Yunji Zeng, Wenhui Fan, Xiao Lian, Yi Shen

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

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 2 15%
Researcher 1 8%
Student > Postgraduate 1 8%
Lecturer > Senior Lecturer 1 8%
Unknown 8 62%
Readers by discipline Count As %
Medicine and Dentistry 3 23%
Engineering 1 8%
Unknown 9 69%
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 12 October 2019.
All research outputs
#20,583,973
of 23,168,000 outputs
Outputs from World Journal of Emergency Surgery
#485
of 557 outputs
Outputs of similar age
#300,014
of 353,324 outputs
Outputs of similar age from World Journal of Emergency Surgery
#6
of 6 outputs
Altmetric has tracked 23,168,000 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 557 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.3. 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 353,324 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 6 others from the same source and published within six weeks on either side of this one.