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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Treatment of one case of cerebral palsy combined with posterior visual pathway injury using autologous bone marrow mesenchymal stem cells
|
|---|---|
| Published in |
Journal of Translational Medicine, May 2012
|
| DOI | 10.1186/1479-5876-10-100 |
| Pubmed ID | |
| Authors |
Min Li, Aixue Yu, Fangfang Zhang, GuangHui Dai, Hongbin Cheng, Xiaodong Wang, Yihua An |
| Abstract |
Cerebral palsy is currently one of the major diseases that cause severe paralysis of the nervous system in children; approximately 9-30% of cerebral palsy patients are also visually impaired, for which no effective treatment is available. Bone marrow mesenchymal stem cells (BMSCs) have very strong self-renewal, proliferation, and pluripotent differentiation potentials. Therefore, autologous BMSC transplantation has become a novel method for treating cerebral palsy. |
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 | 5 | 42% |
| Panama | 2 | 17% |
| United Kingdom | 1 | 8% |
| Australia | 1 | 8% |
| Unknown | 3 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 67% |
| Science communicators (journalists, bloggers, editors) | 2 | 17% |
| Scientists | 2 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 1% |
| Egypt | 1 | 1% |
| Unknown | 72 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 13 | 18% |
| Researcher | 12 | 16% |
| Student > Ph. D. Student | 9 | 12% |
| Student > Master | 8 | 11% |
| Student > Postgraduate | 7 | 9% |
| Other | 17 | 23% |
| Unknown | 8 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 30 | 41% |
| Agricultural and Biological Sciences | 8 | 11% |
| Psychology | 6 | 8% |
| Nursing and Health Professions | 4 | 5% |
| Biochemistry, Genetics and Molecular Biology | 2 | 3% |
| Other | 10 | 14% |
| Unknown | 14 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 21 April 2015.
All research outputs
#4,719,944
of 25,654,806 outputs
Outputs from Journal of Translational Medicine
#838
of 4,692 outputs
Outputs of similar age
#30,503
of 176,854 outputs
Outputs of similar age from Journal of Translational Medicine
#9
of 62 outputs
Altmetric has tracked 25,654,806 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,692 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 82% 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 176,854 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 82% of its contemporaries.
We're also able to compare this research output to 62 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.