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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Radix Paeoniae Rubra stimulates osteoclast differentiation by activation of the NF-κB and mitogen-activated protein kinase pathways
|
|---|---|
| Published in |
BMC Complementary Medicine and Therapies, April 2018
|
| DOI | 10.1186/s12906-018-2196-7 |
| Pubmed ID | |
| Authors |
Huey-En Tzeng, Chun-Hao Tsai, Tin-Yun Ho, Chin-Tung Hsieh, Shen-Chieh Chou, Yi-Ju Lee, Gregory J. Tsay, Po-Hao Huang, Yi-Ying Wu |
| Abstract |
Radix Paeoniae Rubra (RPR), a traditional Chinese herb, has anti-inflammatory and immuno-regulatory properties. This study explored the effects of RPR on stimulation of osteoclast differentiation in RAW264.7 cells and peripheral blood mononuclear cells (PBMC)s. The mature osteoclasts were measured by bone resorption assays and TRAP staining. JNK, ERK, p38 and NF-κB inhibitors were used applied in order to verify their contribution in RPR-induced osteoclast differentiation. The NF-κB and MAPK pathways were evaluated by western blotting, RT-PCR and luciferase assay. RPR induced osteoclast differentiation in a dose-dependent manner and induced the resorption activity of osteoclasts differentiation of RAW264.7 cells and PBMCs. Western blotting showed that RPR treatment induced phosphorylation of JNK, ERK, and p38 in RAW 264.7 cells. Treatment of JNK, ERK, and p38 MAP kinase inhibitors verified the contribution of JNK, ERK and p38. RPR treatment induced c-Fos and NFATc1 protein expression; NF-κB inhibitor treatment and luciferase assay verified the contribution of the NF-κB pathway. This study demonstrated the interesting effect, in which RPR stimulated osteoclast differentiation in murine RAW264.7 cells and human monocytes. |
X Demographics
The data shown below were collected from the profile of 1 X user 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 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 15 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 3 | 20% |
| Student > Ph. D. Student | 2 | 13% |
| Other | 1 | 7% |
| Student > Master | 1 | 7% |
| Professor > Associate Professor | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 7 | 47% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 7% |
| Biochemistry, Genetics and Molecular Biology | 1 | 7% |
| Agricultural and Biological Sciences | 1 | 7% |
| Immunology and Microbiology | 1 | 7% |
| Medicine and Dentistry | 1 | 7% |
| Other | 2 | 13% |
| Unknown | 8 | 53% |
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 25 April 2018.
All research outputs
#20,483,282
of 23,045,021 outputs
Outputs from BMC Complementary Medicine and Therapies
#2,993
of 3,647 outputs
Outputs of similar age
#287,605
of 326,557 outputs
Outputs of similar age from BMC Complementary Medicine and Therapies
#56
of 90 outputs
Altmetric has tracked 23,045,021 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 3,647 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.7. 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 326,557 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 90 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.