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Understanding the need of ventricular pressure for the estimation of diastolic biomarkers

Overview of attention for article published in Biomechanics and Modeling in Mechanobiology, October 2013
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1 X user

Citations

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Readers on

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43 Mendeley
Title
Understanding the need of ventricular pressure for the estimation of diastolic biomarkers
Published in
Biomechanics and Modeling in Mechanobiology, October 2013
DOI 10.1007/s10237-013-0531-y
Pubmed ID
Authors

Jiahe Xi, Wenzhe Shi, Daniel Rueckert, Reza Razavi, Nicolas P. Smith, Pablo Lamata

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

Geographical breakdown

Country Count As %
United Kingdom 4 9%
Unknown 39 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 28%
Researcher 9 21%
Student > Master 3 7%
Professor 2 5%
Lecturer 2 5%
Other 7 16%
Unknown 8 19%
Readers by discipline Count As %
Engineering 13 30%
Medicine and Dentistry 5 12%
Mathematics 3 7%
Computer Science 3 7%
Nursing and Health Professions 2 5%
Other 9 21%
Unknown 8 19%
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 October 2013.
All research outputs
#16,069,695
of 23,849,058 outputs
Outputs from Biomechanics and Modeling in Mechanobiology
#285
of 486 outputs
Outputs of similar age
#130,561
of 210,214 outputs
Outputs of similar age from Biomechanics and Modeling in Mechanobiology
#3
of 4 outputs
Altmetric has tracked 23,849,058 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 486 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one is in the 24th percentile – i.e., 24% 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 210,214 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.