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Modeling left ventricular diastolic dysfunction: classification and key indicators

Overview of attention for article published in Theoretical Biology and Medical Modelling, May 2011
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Mentioned by

twitter
1 tweeter

Citations

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22 Dimensions

Readers on

mendeley
57 Mendeley
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Title
Modeling left ventricular diastolic dysfunction: classification and key indicators
Published in
Theoretical Biology and Medical Modelling, May 2011
DOI 10.1186/1742-4682-8-14
Pubmed ID
Authors

Chuan Luo, Deepa Ramachandran, David L Ware, Tony S Ma, John W Clark

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Sweden 1 2%
France 1 2%
Canada 1 2%
Egypt 1 2%
Unknown 53 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 28%
Researcher 10 18%
Student > Bachelor 7 12%
Other 5 9%
Student > Doctoral Student 3 5%
Other 12 21%
Unknown 4 7%
Readers by discipline Count As %
Engineering 24 42%
Medicine and Dentistry 14 25%
Computer Science 5 9%
Agricultural and Biological Sciences 2 4%
Physics and Astronomy 2 4%
Other 6 11%
Unknown 4 7%

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 01 February 2016.
All research outputs
#11,132,559
of 12,516,972 outputs
Outputs from Theoretical Biology and Medical Modelling
#182
of 227 outputs
Outputs of similar age
#274,972
of 334,310 outputs
Outputs of similar age from Theoretical Biology and Medical Modelling
#1
of 1 outputs
Altmetric has tracked 12,516,972 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 227 research outputs from this source. They receive a mean Attention Score of 3.9. 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 334,310 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 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