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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Non-expanded adipose stromal vascular fraction cell therapy for multiple sclerosis
|
|---|---|
| Published in |
Journal of Translational Medicine, April 2009
|
| DOI | 10.1186/1479-5876-7-29 |
| Pubmed ID | |
| Authors |
Neil H Riordan, Thomas E Ichim, Wei-Ping Min, Hao Wang, Fabio Solano, Fabian Lara, Miguel Alfaro, Jorge Paz Rodriguez, Robert J Harman, Amit N Patel, Michael P Murphy, Roland R Lee, Boris Minev |
| Abstract |
The stromal vascular fraction (SVF) of adipose tissue is known to contain mesenchymal stem cells (MSC), T regulatory cells, endothelial precursor cells, preadipocytes, as well as anti-inflammatory M2 macrophages. Safety of autologous adipose tissue implantation is supported by extensive use of this procedure in cosmetic surgery, as well as by ongoing studies using in vitro expanded adipose derived MSC. Equine and canine studies demonstrating anti-inflammatory and regenerative effects of non-expanded SVF cells have yielded promising results. Although non-expanded SVF cells have been used successfully in accelerating healing of Crohn's fistulas, to our knowledge clinical use of these cells for systemic immune modulation has not been reported. In this communication we discuss the rationale for use of autologous SVF in treatment of multiple sclerosis and describe our experiences with three patients. Based on this rationale and initial experiences, we propose controlled trials of autologous SVF in various inflammatory conditions. |
X Demographics
The data shown below were collected from the profiles of 13 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 | 8 | 62% |
| Panama | 1 | 8% |
| Unknown | 4 | 31% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 77% |
| Scientists | 2 | 15% |
| Practitioners (doctors, other healthcare professionals) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 283 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | <1% |
| Spain | 2 | <1% |
| United States | 2 | <1% |
| China | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Japan | 1 | <1% |
| Taiwan | 1 | <1% |
| Unknown | 273 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 48 | 17% |
| Student > Master | 37 | 13% |
| Student > Ph. D. Student | 31 | 11% |
| Student > Bachelor | 27 | 10% |
| Other | 25 | 9% |
| Other | 54 | 19% |
| Unknown | 61 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 79 | 28% |
| Agricultural and Biological Sciences | 53 | 19% |
| Biochemistry, Genetics and Molecular Biology | 31 | 11% |
| Immunology and Microbiology | 9 | 3% |
| Veterinary Science and Veterinary Medicine | 9 | 3% |
| Other | 30 | 11% |
| Unknown | 72 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 43. 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 11 August 2022.
All research outputs
#835,536
of 23,072,295 outputs
Outputs from Journal of Translational Medicine
#153
of 4,045 outputs
Outputs of similar age
#1,992
of 93,824 outputs
Outputs of similar age from Journal of Translational Medicine
#1
of 14 outputs
Altmetric has tracked 23,072,295 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,045 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has done particularly well, scoring higher than 96% 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 93,824 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 14 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 92% of its contemporaries.