| Title |
Converted neural cells: induced to a cure?
|
|---|---|
| Published in |
Protein & Cell, March 2012
|
| DOI | 10.1007/s13238-012-2029-2 |
| Pubmed ID | |
| Authors |
Weiqi Zhang, Shunlei Duan, Ying Li, Xiuling Xu, Jing Qu, Weizhou Zhang, Guang-Hui Liu |
| Abstract |
Many neurodegenerative disorders such as Parkinson's disease (PD), amyotrophic lateral sclerosis (ALS) and others often occur as a result of progressive loss of structure or function of neurons. Recently, many groups were able to generate neural cells, either differentiated from induced pluripotent stem cells (iPSCs) or converted from somatic cells. Advances in converted neural cells have opened a new era to ease applications for modeling diseases and screening drugs. In addition, the converted neural cells also hold the promise for cell replacement therapy (Kikuchi et al., 2011; Krencik et al., 2011; Kriks et al., 2011; Nori et al., 2011; Rhee et al., 2011; Schwartz et al., 2012). Here we will mainly discuss most recent progress on using converted functional neural cells to treat neurological diseases and highlight potential clinical challenges and future perspectives. |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 3% |
| Unknown | 39 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 23% |
| Student > Master | 7 | 18% |
| Student > Bachelor | 6 | 15% |
| Student > Doctoral Student | 2 | 5% |
| Other | 2 | 5% |
| Other | 6 | 15% |
| Unknown | 8 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 13 | 33% |
| Medicine and Dentistry | 9 | 23% |
| Biochemistry, Genetics and Molecular Biology | 6 | 15% |
| Nursing and Health Professions | 1 | 3% |
| Computer Science | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 9 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 February 2014.
All research outputs
#7,454,951
of 22,790,780 outputs
Outputs from Protein & Cell
#284
of 738 outputs
Outputs of similar age
#51,517
of 156,076 outputs
Outputs of similar age from Protein & Cell
#4
of 13 outputs
Altmetric has tracked 22,790,780 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 738 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.4. This one is in the 49th percentile – i.e., 49% 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 156,076 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.