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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Induced pluripotent stem cell technology for disease modeling and drug screening with emphasis on lysosomal storage diseases
|
|---|---|
| Published in |
Stem Cell Research & Therapy, August 2012
|
| DOI | 10.1186/scrt125 |
| Pubmed ID | |
| Authors |
Hsiang-Po Huang, Ching-Yu Chuang, Hung-Chih Kuo |
| Abstract |
ABSTRACT: The recent derivation of disease-specific induced pluripotent stem cells (iPSCs) from somatic cells of patients with familial and sporadic forms of diseases and the demonstration of their ability to give rise to disease-relevant cell types provide an excellent opportunity to gain further insights into the mechanisms responsible for the pathophysiology of these diseases and develop novel therapeutic drugs. Here, we review the recent advances in iPSC technology for modeling of various lysosomal storage diseases (LSDs) and discuss possible strategies through which LSD-iPSCs can be exploited to identify novel drugs and improve future clinical treatment of LSDs. |
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 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 33 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 30% |
| Student > Master | 4 | 12% |
| Researcher | 4 | 12% |
| Professor > Associate Professor | 2 | 6% |
| Student > Bachelor | 2 | 6% |
| Other | 3 | 9% |
| Unknown | 8 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 9 | 27% |
| Biochemistry, Genetics and Molecular Biology | 8 | 24% |
| Immunology and Microbiology | 2 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
| Medicine and Dentistry | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 11 | 33% |
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 29 August 2012.
All research outputs
#18,313,878
of 22,675,759 outputs
Outputs from Stem Cell Research & Therapy
#1,718
of 2,409 outputs
Outputs of similar age
#130,374
of 170,196 outputs
Outputs of similar age from Stem Cell Research & Therapy
#7
of 7 outputs
Altmetric has tracked 22,675,759 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,409 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one is in the 15th percentile – i.e., 15% 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 170,196 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one.