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Channelpedia: An Integrative and Interactive Database for Ion Channels

Overview of attention for article published in Frontiers in Neuroinformatics, January 2011
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  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

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6 X users

Citations

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66 Dimensions

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87 Mendeley
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Title
Channelpedia: An Integrative and Interactive Database for Ion Channels
Published in
Frontiers in Neuroinformatics, January 2011
DOI 10.3389/fninf.2011.00036
Pubmed ID
Authors

Rajnish Ranjan, Georges Khazen, Luca Gambazzi, Srikanth Ramaswamy, Sean L. Hill, Felix Schürmann, Henry Markram

Abstract

Ion channels are membrane proteins that selectively conduct ions across the cell membrane. The flux of ions through ion channels drives electrical and biochemical processes in cells and plays a critical role in shaping the electrical properties of neurons. During the past three decades, extensive research has been carried out to characterize the molecular, structural, and biophysical properties of ion channels. This research has begun to elucidate the role of ion channels in neuronal function and has subsequently led to the development of computational models of ion channel function. Although there have been substantial efforts to consolidate these findings into easily accessible and coherent online resources, a single comprehensive resource is still lacking. The success of these initiatives has been hindered by the sheer diversity of approaches and the variety in data formats. Here, we present "Channelpedia" (http://channelpedia.net), which is designed to store information related to ion channels and models and is characterized by an efficient information management framework. Composed of a combination of a database and a wiki-like discussion platform Channelpedia allows researchers to collaborate and synthesize ion channel information from literature. Equipped to automatically update references, Channelpedia integrates and highlights recent publications with relevant information in the database. It is web based, freely accessible and currently contains 187 annotated ion channels with 45 Hodgkin-Huxley models.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 2%
United Kingdom 2 2%
France 2 2%
United States 2 2%
Mexico 1 1%
Switzerland 1 1%
Unknown 77 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 23 26%
Student > Ph. D. Student 15 17%
Other 8 9%
Professor 6 7%
Student > Master 6 7%
Other 15 17%
Unknown 14 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 28%
Neuroscience 16 18%
Computer Science 9 10%
Chemistry 4 5%
Biochemistry, Genetics and Molecular Biology 4 5%
Other 13 15%
Unknown 17 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 18 October 2012.
All research outputs
#6,111,221
of 22,675,759 outputs
Outputs from Frontiers in Neuroinformatics
#302
of 742 outputs
Outputs of similar age
#44,879
of 180,328 outputs
Outputs of similar age from Frontiers in Neuroinformatics
#7
of 24 outputs
Altmetric has tracked 22,675,759 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 742 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one has gotten more attention than average, scoring higher than 59% 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 180,328 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 74% of its contemporaries.
We're also able to compare this research output to 24 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 70% of its contemporaries.