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Computational tools to investigate genetic cardiac channelopathies

Overview of attention for article published in Frontiers in Physiology, January 2013
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  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

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Title
Computational tools to investigate genetic cardiac channelopathies
Published in
Frontiers in Physiology, January 2013
DOI 10.3389/fphys.2013.00390
Pubmed ID
Authors

Hugues Abriel, Enno de Lange, Jan P. Kucera, Gildas Loussouarn, Mounir Tarek

Abstract

The aim of this perspective article is to share with the community of ion channel scientists our thoughts and expectations regarding the increasing role that computational tools will play in the future of our field. The opinions and comments detailed here are the result of a 3-day long international exploratory workshop that took place in October 2013 and that was supported by the Swiss National Science Foundation.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users 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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 1 9%
Unknown 10 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 27%
Lecturer > Senior Lecturer 1 9%
Professor 1 9%
Other 1 9%
Student > Ph. D. Student 1 9%
Other 1 9%
Unknown 3 27%
Readers by discipline Count As %
Medicine and Dentistry 2 18%
Chemistry 2 18%
Agricultural and Biological Sciences 1 9%
Pharmacology, Toxicology and Pharmaceutical Science 1 9%
Engineering 1 9%
Other 0 0%
Unknown 4 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 10 January 2016.
All research outputs
#14,768,891
of 22,736,112 outputs
Outputs from Frontiers in Physiology
#5,645
of 13,539 outputs
Outputs of similar age
#175,366
of 280,780 outputs
Outputs of similar age from Frontiers in Physiology
#153
of 398 outputs
Altmetric has tracked 22,736,112 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,539 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.5. This one has gotten more attention than average, scoring higher than 52% 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 280,780 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 398 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.