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Emergency physician use of tissue Doppler bedside echocardiography in detecting diastolic dysfunction: an exploratory study

Overview of attention for article published in Critical Ultrasound Journal, January 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#39 of 176)
  • High Attention Score compared to outputs of the same age (89th percentile)

Mentioned by

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28 tweeters
facebook
1 Facebook page
googleplus
1 Google+ user

Citations

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2 Dimensions

Readers on

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16 Mendeley
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Title
Emergency physician use of tissue Doppler bedside echocardiography in detecting diastolic dysfunction: an exploratory study
Published in
Critical Ultrasound Journal, January 2018
DOI 10.1186/s13089-018-0084-5
Pubmed ID
Authors

Marina Del Rios, Joseph Colla, Pavitra Kotini-Shah, Joan Briller, Ben Gerber, Heather Prendergast

Abstract

This study evaluates the agreement between emergency physician (EP) assessment of diastolic dysfunction (DD) by a simplified approach using average peak mitral excursion velocity (e'A) and an independent cardiologist's diagnosis of DD by estimating left atrial (LA) pressure using American Society of Echocardiography (ASE) guidelines. This was a secondary analysis of 48 limited bedside echocardiograms (LBE) performed as a part of a research study of patients presenting to the Emergency Department (ED) with elevated blood pressure but without decompensated heart failure. EPs diagnosed DD based on e'A < 9 cm/s alone. A blinded board-certified cardiologist reviewed LBEs to estimate LA filling pressures following ASE guidelines. An unweighted kappa measure was calculated to determine agreement between EP and cardiologist. Six LBEs were deemed indeterminate by the cardiologist and excluded from the analysis. Agreement was reached in 41 out of 48 cases (85.4%). The unweighted kappa coefficient was 0.74 (95% CI 0.57-0.92). EPs identified 18 out of 20 LBEs diagnosed with diastolic dysfunction by the cardiologist. There is a good agreement between (e'A) by EP and cardiologist interpretation of LBEs. Future studies should investigate this simplified approach as a one-step method of screening for LV diastolic dysfunction in the ED.

Twitter Demographics

The data shown below were collected from the profiles of 28 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 %
Other 6 38%
Researcher 2 13%
Professor > Associate Professor 2 13%
Student > Doctoral Student 1 6%
Student > Ph. D. Student 1 6%
Other 2 13%
Unknown 2 13%
Readers by discipline Count As %
Medicine and Dentistry 10 63%
Sports and Recreations 1 6%
Social Sciences 1 6%
Agricultural and Biological Sciences 1 6%
Unknown 3 19%

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 May 2020.
All research outputs
#1,045,161
of 15,072,583 outputs
Outputs from Critical Ultrasound Journal
#39
of 176 outputs
Outputs of similar age
#37,819
of 362,781 outputs
Outputs of similar age from Critical Ultrasound Journal
#1
of 1 outputs
Altmetric has tracked 15,072,583 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 176 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.5. This one has done well, scoring higher than 77% 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 362,781 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them