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Mendeley readers
Attention Score in Context
| Title |
Screening of Korean medicinal plants for possible osteoclastogenesis effects in vitro
|
|---|---|
| Published in |
Genes & Nutrition, November 2007
|
| DOI | 10.1007/s12263-007-0062-1 |
| Pubmed ID | |
| Authors |
Yu Na Youn, Erang Lim, Nari Lee, Young Seop Kim, Min Seon Koo, Soon Young Choi |
| Abstract |
Bone undergoes continuous remodeling through bone formation and resorption, and maintaining the balance for skeletal rigidity. Bone resorption and loss are generally attributed to osteoclasts. Differentiation of osteoclasts is regulated by receptor activator of nuclear factor NF-kB ligand (RANKL), a member of tumor necrosis factor family. When the balance is disturbed, pathological bone abnormality ensues. Through the screening of traditional Korean medicinal plants, the effective molecules for inhibition and stimulation of RANKL-induced osteoclast differentiation in mouse bone marrow macrophages were identified. Among 222 methanol extracts, of medicinal plants, 10 samples exhibited ability to induce osteoclast differentiation. These include Dryobalanops aromatica, Euphoria longana, Lithospermum erythrorhizon, Prunus mume, Prunus nakaii, and Polygonatum odoratum. In contrast, Ailanthus altissima, Curcuma longa, Solanum nigrum, Taraxacum platycarpa, Trichosanthes kirilowii, and Daphne genkwa showed inhibitory effects in RANKL-induced osteoclast differentiation. |
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 % |
|---|---|---|
| Iran, Islamic Republic of | 1 | 2% |
| Iraq | 1 | 2% |
| Chile | 1 | 2% |
| Unknown | 42 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 18% |
| Student > Ph. D. Student | 6 | 13% |
| Student > Doctoral Student | 6 | 13% |
| Student > Master | 5 | 11% |
| Professor | 3 | 7% |
| Other | 8 | 18% |
| Unknown | 9 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 14 | 31% |
| Biochemistry, Genetics and Molecular Biology | 5 | 11% |
| Medicine and Dentistry | 5 | 11% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 7% |
| Chemistry | 3 | 7% |
| Other | 3 | 7% |
| Unknown | 12 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 20 September 2018.
All research outputs
#1,820,266
of 23,088,369 outputs
Outputs from Genes & Nutrition
#34
of 390 outputs
Outputs of similar age
#3,448
of 64,558 outputs
Outputs of similar age from Genes & Nutrition
#1
of 9 outputs
Altmetric has tracked 23,088,369 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 390 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. 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 64,558 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 94% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them