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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Platelet-Rich Plasma Derived Growth Factors Contribute to Stem Cell Differentiation in Musculoskeletal Regeneration
|
|---|---|
| Published in |
Frontiers in Chemistry, October 2017
|
| DOI | 10.3389/fchem.2017.00089 |
| Pubmed ID | |
| Authors |
Yun Qian, Qixin Han, Wei Chen, Jialin Song, Xiaotian Zhao, Yuanming Ouyang, Weien Yuan, Cunyi Fan |
| Abstract |
Stem cell treatment and platelet-rich plasma (PRP) therapy are two significant issues in regenerative medicine. Stem cells such as bone marrow mesenchymal stem cells, adipose-derived stem cells and periodontal ligament stem cells can be successfully applied in the field of tissue regeneration. PRP, a natural product isolated from whole blood, can secrete multiple growth factors (GFs) for regulating physiological activities. These GFs can stimulate proliferation and differentiation of different stem cells in injury models. Therefore, combination of both agents receives wide expectations in regenerative medicine, especially in bone, cartilage and tendon repair. In this review, we thoroughly discussed the interaction and underlying mechanisms of PRP derived GFs with stem cells, and assessed their functions in cell differentiation for musculoskeletal regeneration. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 170 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 170 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 22 | 13% |
| Student > Bachelor | 20 | 12% |
| Student > Ph. D. Student | 16 | 9% |
| Student > Master | 13 | 8% |
| Other | 10 | 6% |
| Other | 26 | 15% |
| Unknown | 63 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 45 | 26% |
| Biochemistry, Genetics and Molecular Biology | 11 | 6% |
| Agricultural and Biological Sciences | 11 | 6% |
| Veterinary Science and Veterinary Medicine | 6 | 4% |
| Engineering | 4 | 2% |
| Other | 21 | 12% |
| Unknown | 72 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 31 October 2017.
All research outputs
#20,451,228
of 23,007,053 outputs
Outputs from Frontiers in Chemistry
#2,935
of 6,008 outputs
Outputs of similar age
#286,637
of 328,927 outputs
Outputs of similar age from Frontiers in Chemistry
#27
of 49 outputs
Altmetric has tracked 23,007,053 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,008 research outputs from this source. They receive a mean Attention Score of 2.0. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 328,927 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 49 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.