| Title |
Application of Mesenchymal Stem Cell-Derived Extracellular Vesicles for Stroke: Biodistribution and MicroRNA Study
|
|---|---|
| Published in |
Translational Stroke Research, October 2018
|
| DOI | 10.1007/s12975-018-0668-1 |
| Pubmed ID | |
| Authors |
Gyeong Joon Moon, Ji Hee Sung, Dong Hee Kim, Eun Hee Kim, Yeon Hee Cho, Jeong Pyo Son, Jae Min Cha, Oh Young Bang |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 7 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 57% |
| Scientists | 2 | 29% |
| Science communicators (journalists, bloggers, editors) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 89 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 13 | 15% |
| Student > Bachelor | 11 | 12% |
| Student > Ph. D. Student | 10 | 11% |
| Researcher | 8 | 9% |
| Other | 4 | 4% |
| Other | 7 | 8% |
| Unknown | 36 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 20 | 22% |
| Neuroscience | 9 | 10% |
| Agricultural and Biological Sciences | 7 | 8% |
| Medicine and Dentistry | 6 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 2% |
| Other | 5 | 6% |
| Unknown | 40 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 25 January 2024.
All research outputs
#3,259,447
of 25,366,663 outputs
Outputs from Translational Stroke Research
#27
of 499 outputs
Outputs of similar age
#63,871
of 357,022 outputs
Outputs of similar age from Translational Stroke Research
#1
of 11 outputs
Altmetric has tracked 25,366,663 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 499 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done particularly well, scoring higher than 94% 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 357,022 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 81% of its contemporaries.
We're also able to compare this research output to 11 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 99% of its contemporaries.