You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Neural stem cell-like cells derived from autologous bone mesenchymal stem cells for the treatment of patients with cerebral palsy
|
|---|---|
| Published in |
Journal of Translational Medicine, January 2013
|
| DOI | 10.1186/1479-5876-11-21 |
| Pubmed ID | |
| Authors |
Guojun Chen, Yali Wang, Zhenyu Xu, Feng Fang, Renmei Xu, Yue Wang, Xiaoli Hu, Lixing Fan, Houqi Liu |
| Abstract |
Stem cell therapy is a promising treatment for cerebral palsy, which refers to a category of brain diseases that are associated with chronic motor disability in children. Autologous MSCs may be a better cell source and have been studied for the treatment of cerebral palsy because of their functions in tissue repair and the regulation of immunological processes. |
X Demographics
The data shown below were collected from the profiles of 12 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 | 7 | 58% |
| Australia | 1 | 8% |
| Italy | 1 | 8% |
| United Kingdom | 1 | 8% |
| Unknown | 2 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 75% |
| Scientists | 3 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 146 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 1% |
| Ireland | 1 | <1% |
| China | 1 | <1% |
| Japan | 1 | <1% |
| United States | 1 | <1% |
| Poland | 1 | <1% |
| Unknown | 139 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 30 | 21% |
| Student > Master | 20 | 14% |
| Researcher | 18 | 12% |
| Student > Ph. D. Student | 15 | 10% |
| Other | 12 | 8% |
| Other | 21 | 14% |
| Unknown | 30 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 39 | 27% |
| Agricultural and Biological Sciences | 19 | 13% |
| Biochemistry, Genetics and Molecular Biology | 14 | 10% |
| Nursing and Health Professions | 10 | 7% |
| Psychology | 9 | 6% |
| Other | 22 | 15% |
| Unknown | 33 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 September 2017.
All research outputs
#3,250,249
of 22,694,633 outputs
Outputs from Journal of Translational Medicine
#546
of 3,965 outputs
Outputs of similar age
#35,599
of 281,533 outputs
Outputs of similar age from Journal of Translational Medicine
#10
of 81 outputs
Altmetric has tracked 22,694,633 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,965 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has done well, scoring higher than 86% 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 281,533 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 87% of its contemporaries.
We're also able to compare this research output to 81 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.