| Title |
Modeling Long-QT Syndromes with iPS Cells
|
|---|---|
| Published in |
Journal of Cardiovascular Translational Research, October 2012
|
| DOI | 10.1007/s12265-012-9416-1 |
| Pubmed ID | |
| Authors |
Daniel Sinnecker, Alexander Goedel, Tatjana Dorn, Ralf J. Dirschinger, Alessandra Moretti, Karl-Ludwig Laugwitz |
| Abstract |
The generation of induced pluripotent stem cells (iPSC) from human somatic cells bears the possibility to generate patient-specific stem cell lines which can serve as a theoretically unlimited source of somatic cells carrying the genotype of the patients. Different types of the long-QT syndrome have been studied by analyzing the phenotype of cardiomyocytes generated from patient-specific iPSC lines. Major aspects of the pathophysiology of long-QT syndrome, like prolonged action potentials, arrhythmia, and the effects of pro- and antiarrhythmic drugs could be recapitulated in these cells. In the future, patient-specific iPSC-derived cardiomyocytes might be used to screen for new drugs, to avoid unwanted drug side effects, and to deepen our understanding on the pathophysiology of long-QT syndromes. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| Unknown | 46 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 26% |
| Researcher | 9 | 19% |
| Student > Bachelor | 6 | 13% |
| Student > Master | 6 | 13% |
| Student > Doctoral Student | 3 | 6% |
| Other | 5 | 11% |
| Unknown | 6 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 15 | 32% |
| Medicine and Dentistry | 11 | 23% |
| Biochemistry, Genetics and Molecular Biology | 10 | 21% |
| Engineering | 2 | 4% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
| Other | 4 | 9% |
| Unknown | 4 | 9% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 20 December 2022.
All research outputs
#7,161,254
of 23,377,816 outputs
Outputs from Journal of Cardiovascular Translational Research
#192
of 588 outputs
Outputs of similar age
#52,681
of 177,476 outputs
Outputs of similar age from Journal of Cardiovascular Translational Research
#2
of 6 outputs
Altmetric has tracked 23,377,816 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 588 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has gotten more attention than average, scoring higher than 65% 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 177,476 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 68% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.