| Title |
High efficient isolation and systematic identification of human adipose-derived mesenchymal stem cells
|
|---|---|
| Published in |
Journal of Biomedical Science, August 2011
|
| DOI | 10.1186/1423-0127-18-59 |
| Pubmed ID | |
| Authors |
Xu-Fang Yang, Xu He, Jian He, Li-Hong Zhang, Xue-Jin Su, Zhi-Yong Dong, Yun-Jian Xu, Yan Li, Yu-Lin Li |
| Abstract |
Developing efficient methods to isolate and identify human adipose-derived mesenchymal stem cells (hADSCs) remains to be one of the major challenges in tissue engineering. |
Mendeley readers
The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 1% |
| Portugal | 1 | 1% |
| Switzerland | 1 | 1% |
| Unknown | 88 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 19 | 21% |
| Student > Ph. D. Student | 15 | 16% |
| Student > Bachelor | 13 | 14% |
| Researcher | 13 | 14% |
| Professor > Associate Professor | 7 | 8% |
| Other | 10 | 11% |
| Unknown | 14 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 41 | 45% |
| Medicine and Dentistry | 18 | 20% |
| Biochemistry, Genetics and Molecular Biology | 9 | 10% |
| Engineering | 5 | 5% |
| Physics and Astronomy | 1 | 1% |
| Other | 2 | 2% |
| Unknown | 15 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 06 August 2015.
All research outputs
#4,100,530
of 25,374,917 outputs
Outputs from Journal of Biomedical Science
#175
of 1,101 outputs
Outputs of similar age
#21,462
of 134,183 outputs
Outputs of similar age from Journal of Biomedical Science
#2
of 6 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% 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 11.0. This one has done well, scoring higher than 84% 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 134,183 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 83% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.