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Extremity compartment syndrome: A review with a focus on non-invasive methods of diagnosis

Overview of attention for article published in Frontiers in Bioengineering and Biotechnology, July 2022
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Mentioned by

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1 X user

Citations

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9 Dimensions

Readers on

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38 Mendeley
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Title
Extremity compartment syndrome: A review with a focus on non-invasive methods of diagnosis
Published in
Frontiers in Bioengineering and Biotechnology, July 2022
DOI 10.3389/fbioe.2022.801586
Pubmed ID
Authors

Martin Novak, Marek Penhaker, Pavel Raska, Leopold Pleva, Martin Schmidt

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

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 13%
Unspecified 3 8%
Other 2 5%
Professor > Associate Professor 2 5%
Lecturer > Senior Lecturer 1 3%
Other 4 11%
Unknown 21 55%
Readers by discipline Count As %
Medicine and Dentistry 8 21%
Unspecified 3 8%
Nursing and Health Professions 1 3%
Arts and Humanities 1 3%
Psychology 1 3%
Other 1 3%
Unknown 23 61%
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 18 July 2022.
All research outputs
#20,335,423
of 22,880,230 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#4,602
of 6,635 outputs
Outputs of similar age
#344,722
of 433,388 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#426
of 645 outputs
Altmetric has tracked 22,880,230 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 6,635 research outputs from this source. They receive a mean Attention Score of 3.4. 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 433,388 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 645 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.