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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Hair Growth Promotion Activity and Its Mechanism of Polygonum multiflorum
|
|---|---|
| Published in |
Evidence-based Complementary & Alternative Medicine (eCAM), July 2015
|
| DOI | 10.1155/2015/517901 |
| Pubmed ID | |
| Authors |
Yunfei Li, Mingnuan Han, Pei Lin, Yanran He, Jie Yu, Ronghua Zhao |
| Abstract |
Polygonum multiflorum Radix (PMR) has long history in hair growth promotion and hair coloring in clinical applications. However, several crucial problems in its clinic usage and mechanisms are still unsolved or lack scientific evidences. In this research, C57BL/6J mice were used to investigate hair growth promotion activity and possible mechanism of PMR and Polygonum multiflorum Radix Preparata (PMRP). Hair growth promotion activities were investigated by hair length, hair covered skin ratio, the number of follicles, and hair color. Regulation effects of several cytokines involved in the hair growth procedure were tested, such as fibroblast growth factor (FGF-7), Sonic Hedgehog (SHH), β-catenin, insulin-like growth factor-1 (IGF-1), and hepatocyte growth factor (HGF). Oral PMR groups had higher hair covered skin ratio (100 ± 0.00%) than oral PMRP groups (48%~88%). However, topical usage of PMRP had about 90% hair covered skin ratio. Both oral administration of PMR and topically given PMRP showed hair growth promotion activities. PMR was considered to be more suitable for oral administration, while PMRP showed greater effects in external use. The hair growth promotion effect of oral PMR was most probably mediated by the expression of FGF-7, while topical PMRP promoted hair growth by the stimulation of SHH expression. |
X Demographics
The data shown below were collected from the profiles of 2 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 | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 45 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 8 | 18% |
| Student > Ph. D. Student | 8 | 18% |
| Researcher | 4 | 9% |
| Student > Postgraduate | 2 | 4% |
| Professor > Associate Professor | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 21 | 47% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 8 | 18% |
| Biochemistry, Genetics and Molecular Biology | 3 | 7% |
| Chemistry | 3 | 7% |
| Medicine and Dentistry | 3 | 7% |
| Veterinary Science and Veterinary Medicine | 1 | 2% |
| Other | 4 | 9% |
| Unknown | 23 | 51% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 30 January 2024.
All research outputs
#2,577,594
of 25,394,764 outputs
Outputs from Evidence-based Complementary & Alternative Medicine (eCAM)
#815
of 9,352 outputs
Outputs of similar age
#32,015
of 275,085 outputs
Outputs of similar age from Evidence-based Complementary & Alternative Medicine (eCAM)
#33
of 199 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,352 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one has done particularly well, scoring higher than 91% 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 275,085 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 88% of its contemporaries.
We're also able to compare this research output to 199 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.