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Strain dyssynchrony index determined by three-dimensional speckle area tracking can predict response to cardiac resynchronization therapy

Overview of attention for article published in Cardiovascular Ultrasound, April 2011
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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 (#42 of 310)
  • Good Attention Score compared to outputs of the same age (71st percentile)

Mentioned by

blogs
1 blog

Citations

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42 Dimensions

Readers on

mendeley
42 Mendeley
Title
Strain dyssynchrony index determined by three-dimensional speckle area tracking can predict response to cardiac resynchronization therapy
Published in
Cardiovascular Ultrasound, April 2011
DOI 10.1186/1476-7120-9-11
Pubmed ID
Authors

Kazuhiro Tatsumi, Hidekazu Tanaka, Takayuki Tsuji, Akihiro Kaneko, Keiko Ryo, Kohei Yamawaki, Alaa MS Omar, Yuko Fukuda, Kazuko Norisada, Kensuke Matsumoto, Tetsuari Onishi, Akihiro Yoshida, Hiroya Kawai, Ken-ichi Hirata

Abstract

We have previously reported strain dyssynchrony index assessed by two-dimensional speckle tracking strain, and a marker of both dyssynchrony and residual myocardial contractility, can predict response to cardiac resynchronization therapy (CRT). A newly developed three-dimensional (3-D) speckle tracking system can quantify endocardial area change ratio (area strain), which coupled with the factors of both longitudinal and circumferential strain, from all 16 standard left ventricular (LV) segments using complete 3-D pyramidal datasets. Our objective was to test the hypothesis that strain dyssynchrony index using area tracking (ASDI) can quantify dyssynchrony and predict response to CRT.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Belgium 1 2%
Unknown 41 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 19%
Researcher 8 19%
Student > Bachelor 4 10%
Other 4 10%
Student > Postgraduate 4 10%
Other 8 19%
Unknown 6 14%
Readers by discipline Count As %
Medicine and Dentistry 25 60%
Engineering 2 5%
Nursing and Health Professions 1 2%
Earth and Planetary Sciences 1 2%
Agricultural and Biological Sciences 1 2%
Other 2 5%
Unknown 10 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 06 August 2014.
All research outputs
#5,557,152
of 22,759,618 outputs
Outputs from Cardiovascular Ultrasound
#42
of 310 outputs
Outputs of similar age
#30,735
of 109,021 outputs
Outputs of similar age from Cardiovascular Ultrasound
#2
of 3 outputs
Altmetric has tracked 22,759,618 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 310 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done well, scoring higher than 86% 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 109,021 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.