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Mendeley readers
Attention Score in Context
| Title |
Enabling a robust scalable manufacturing process for therapeutic exosomes through oncogenic immortalization of human ESC-derived MSCs
|
|---|---|
| Published in |
Journal of Translational Medicine, April 2011
|
| DOI | 10.1186/1479-5876-9-47 |
| Pubmed ID | |
| Authors |
Tian Sheng Chen, Fatih Arslan, Yijun Yin, Soon Sim Tan, Ruenn Chai Lai, Andre Boon Hwa Choo, Jayanthi Padmanabhan, Chuen Neng Lee, Dominique PV de Kleijn, Sai Kiang Lim |
| Abstract |
Exosomes or secreted bi-lipid vesicles from human ESC-derived mesenchymal stem cells (hESC-MSCs) have been shown to reduce myocardial ischemia/reperfusion injury in animal models. However, as hESC-MSCs are not infinitely expansible, large scale production of these exosomes would require replenishment of hESC-MSC through derivation from hESCs and incur recurring costs for testing and validation of each new batch. Our aim was therefore to investigate if MYC immortalization of hESC-MSC would circumvent this constraint without compromising the production of therapeutically efficacious exosomes. |
Mendeley readers
The data shown below were compiled from readership statistics for 318 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Denmark | 2 | <1% |
| Chile | 1 | <1% |
| United Kingdom | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Iran, Islamic Republic of | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 311 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 59 | 19% |
| Researcher | 53 | 17% |
| Student > Master | 42 | 13% |
| Student > Bachelor | 26 | 8% |
| Other | 14 | 4% |
| Other | 55 | 17% |
| Unknown | 69 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 63 | 20% |
| Agricultural and Biological Sciences | 59 | 19% |
| Medicine and Dentistry | 50 | 16% |
| Pharmacology, Toxicology and Pharmaceutical Science | 13 | 4% |
| Engineering | 13 | 4% |
| Other | 27 | 8% |
| Unknown | 93 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 19 January 2023.
All research outputs
#3,062,581
of 25,998,826 outputs
Outputs from Journal of Translational Medicine
#536
of 4,710 outputs
Outputs of similar age
#14,342
of 125,846 outputs
Outputs of similar age from Journal of Translational Medicine
#7
of 26 outputs
Altmetric has tracked 25,998,826 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,710 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has done well, scoring higher than 88% 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 125,846 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% 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 gotten more attention than average, scoring higher than 73% of its contemporaries.