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X Demographics
Mendeley readers
Attention Score in Context
| Title |
3D brain Organoids derived from pluripotent stem cells: promising experimental models for brain development and neurodegenerative disorders
|
|---|---|
| Published in |
Journal of Biomedical Science, August 2017
|
| DOI | 10.1186/s12929-017-0362-8 |
| Pubmed ID | |
| Authors |
Chun-Ting Lee, Raphael M. Bendriem, Wells W. Wu, Rong-Fong Shen |
| Abstract |
Three-dimensional (3D) brain organoids derived from human pluripotent stem cells (hPSCs), including embryonic stem cells (ESCs) and induced pluripotent stem cells (iPSCs), appear to recapitulate the brain's 3D cytoarchitectural arrangement and provide new opportunities to explore disease pathogenesis in the human brain. Human iPSC (hiPSC) reprogramming methods, combined with 3D brain organoid tools, may allow patient-derived organoids to serve as a preclinical platform to bridge the translational gap between animal models and human clinical trials. Studies using patient-derived brain organoids have already revealed novel insights into molecular and genetic mechanisms of certain complex human neurological disorders such as microcephaly, autism, and Alzheimer's disease. Furthermore, the combination of hiPSC technology and small-molecule high-throughput screening (HTS) facilitates the development of novel pharmacotherapeutic strategies, while transcriptome sequencing enables the transcriptional profiling of patient-derived brain organoids. Finally, the addition of CRISPR/Cas9 genome editing provides incredible potential for personalized cell replacement therapy with genetically corrected hiPSCs. This review describes the history and current state of 3D brain organoid differentiation strategies, a survey of applications of organoids towards studies of neurodevelopmental and neurodegenerative disorders, and the challenges associated with their use as in vitro models of neurological disorders. |
X Demographics
The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 27% |
| France | 1 | 9% |
| Japan | 1 | 9% |
| Unknown | 6 | 55% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 55% |
| Scientists | 3 | 27% |
| Science communicators (journalists, bloggers, editors) | 2 | 18% |
Mendeley readers
The data shown below were compiled from readership statistics for 567 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 567 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 91 | 16% |
| Student > Master | 89 | 16% |
| Student > Bachelor | 77 | 14% |
| Researcher | 54 | 10% |
| Student > Doctoral Student | 31 | 5% |
| Other | 67 | 12% |
| Unknown | 158 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 103 | 18% |
| Neuroscience | 87 | 15% |
| Agricultural and Biological Sciences | 55 | 10% |
| Medicine and Dentistry | 35 | 6% |
| Engineering | 31 | 5% |
| Other | 81 | 14% |
| Unknown | 175 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 34. 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 15 November 2023.
All research outputs
#1,170,375
of 25,382,440 outputs
Outputs from Journal of Biomedical Science
#48
of 1,101 outputs
Outputs of similar age
#23,532
of 325,841 outputs
Outputs of similar age from Journal of Biomedical Science
#1
of 26 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,101 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.1. This one has done particularly well, scoring higher than 95% 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 325,841 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.