| Title |
Organoid based personalized medicine: from bench to bedside
|
|---|---|
| Published in |
Cell Regeneration, November 2020
|
| DOI | 10.1186/s13619-020-00059-z |
| Pubmed ID | |
| Authors |
Yaqi Li, Peiyuan Tang, Sanjun Cai, Junjie Peng, Guoqiang Hua |
| Abstract |
Three-dimensional cultured organoids have become a powerful in vitro research tool that preserves genetic, phenotypic and behavioral trait of in vivo organs, which can be established from both pluripotent stem cells and adult stem cells. Organoids derived from adult stem cells can be established directly from diseased epithelium and matched normal tissues, and organoids can also be genetically manipulated by CRISPR-Cas9 technology. Applications of organoids in basic research involve the modeling of human development and diseases, including genetic, infectious and malignant diseases. Importantly, accumulating evidence suggests that biobanks of patient-derived organoids for many cancers and cystic fibrosis have great value for drug development and personalized medicine. In addition, organoids hold promise for regenerative medicine. In the present review, we discuss the applications of organoids in the basic and translational research. |
X Demographics
The data shown below were collected from the profiles of 3 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 | 2 | 67% |
| China | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 195 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 195 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 23 | 12% |
| Student > Bachelor | 22 | 11% |
| Researcher | 19 | 10% |
| Student > Master | 12 | 6% |
| Student > Postgraduate | 8 | 4% |
| Other | 19 | 10% |
| Unknown | 92 | 47% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 39 | 20% |
| Medicine and Dentistry | 14 | 7% |
| Immunology and Microbiology | 11 | 6% |
| Agricultural and Biological Sciences | 9 | 5% |
| Engineering | 9 | 5% |
| Other | 21 | 11% |
| Unknown | 92 | 47% |
Attention Score in Context
This research output has an Altmetric Attention Score of 48. 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 04 May 2023.
All research outputs
#783,344
of 23,668,780 outputs
Outputs from Cell Regeneration
#2
of 166 outputs
Outputs of similar age
#22,354
of 422,364 outputs
Outputs of similar age from Cell Regeneration
#1
of 7 outputs
Altmetric has tracked 23,668,780 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 166 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done particularly well, scoring higher than 99% of its peers.
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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. This one has scored higher than all of them