↓ Skip to main content

Automated Electrophysiology Makes the Pace for Cardiac Ion Channel Safety Screening

Overview of attention for article published in Frontiers in Pharmacology, January 2011
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
31 Dimensions

Readers on

mendeley
39 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Automated Electrophysiology Makes the Pace for Cardiac Ion Channel Safety Screening
Published in
Frontiers in Pharmacology, January 2011
DOI 10.3389/fphar.2011.00073
Pubmed ID
Authors

Clemens Möller, Harry Witchel

Abstract

The field of automated patch-clamp electrophysiology has emerged from the tension between the pharmaceutical industry's need for high-throughput compound screening versus its need to be conservative due to regulatory requirements. On the one hand, hERG channel screening was increasingly requested for new chemical entities, as the correlation between blockade of the ion channel coded by hERG and torsades de pointes cardiac arrhythmia gained increasing attention. On the other hand, manual patch-clamping, typically quoted as the "gold-standard" for understanding ion channel function and modulation, was far too slow (and, consequently, too expensive) for keeping pace with the numbers of compounds submitted for hERG channel investigations from pharmaceutical R&D departments. In consequence it became more common for some pharmaceutical companies to outsource safety pharmacological investigations, with a focus on hERG channel interactions. This outsourcing has allowed those pharmaceutical companies to build up operational flexibility and greater independence from internal resources, and allowed them to obtain access to the latest technological developments that emerged in automated patch-clamp electrophysiology - much of which arose in specialized biotech companies. Assays for nearly all major cardiac ion channels are now available by automated patch-clamping using heterologous expression systems, and recently, automated action potential recordings from stem-cell derived cardiomyocytes have been demonstrated. Today, most of the large pharmaceutical companies have acquired automated electrophysiology robots and have established various automated cardiac ion channel safety screening assays on these, in addition to outsourcing parts of their needs for safety screening.

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

Geographical breakdown

Country Count As %
United States 1 3%
Germany 1 3%
Unknown 37 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 28%
Student > Ph. D. Student 7 18%
Student > Master 5 13%
Student > Doctoral Student 3 8%
Professor 2 5%
Other 8 21%
Unknown 3 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 38%
Engineering 6 15%
Biochemistry, Genetics and Molecular Biology 3 8%
Medicine and Dentistry 2 5%
Chemistry 2 5%
Other 6 15%
Unknown 5 13%
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 23 November 2011.
All research outputs
#20,165,369
of 22,675,759 outputs
Outputs from Frontiers in Pharmacology
#9,874
of 15,845 outputs
Outputs of similar age
#169,848
of 180,328 outputs
Outputs of similar age from Frontiers in Pharmacology
#37
of 44 outputs
Altmetric has tracked 22,675,759 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 15,845 research outputs from this source. They receive a mean Attention Score of 4.9. 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 180,328 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 44 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.