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hiPSC Modeling of Inherited Cardiomyopathies

Overview of attention for article published in Current Treatment Options in Cardiovascular Medicine, May 2014
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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 (#19 of 192)
  • Good Attention Score compared to outputs of the same age (79th percentile)

Mentioned by

patent
2 patents
wikipedia
1 Wikipedia page

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
33 Mendeley
Title
hiPSC Modeling of Inherited Cardiomyopathies
Published in
Current Treatment Options in Cardiovascular Medicine, May 2014
DOI 10.1007/s11936-014-0320-7
Pubmed ID
Authors

Gwanghyun Jung, Daniel Bernstein

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Netherlands 1 3%
Unknown 31 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 36%
Researcher 6 18%
Student > Doctoral Student 4 12%
Student > Master 4 12%
Other 3 9%
Other 4 12%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 36%
Agricultural and Biological Sciences 10 30%
Medicine and Dentistry 4 12%
Unspecified 3 9%
Engineering 2 6%
Other 2 6%

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 05 April 2017.
All research outputs
#1,629,403
of 9,447,583 outputs
Outputs from Current Treatment Options in Cardiovascular Medicine
#19
of 192 outputs
Outputs of similar age
#48,572
of 235,227 outputs
Outputs of similar age from Current Treatment Options in Cardiovascular Medicine
#1
of 4 outputs
Altmetric has tracked 9,447,583 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 192 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done well, scoring higher than 89% 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 235,227 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 79% of its contemporaries.
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. This one has scored higher than all of them