↓ Skip to main content

Kaempferol as a flavonoid induces osteoblastic differentiation via estrogen receptor signaling

Overview of attention for article published in Chinese Medicine, April 2012
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

Mentioned by

twitter
1 X user
wikipedia
1 Wikipedia page

Readers on

mendeley
68 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Kaempferol as a flavonoid induces osteoblastic differentiation via estrogen receptor signaling
Published in
Chinese Medicine, April 2012
DOI 10.1186/1749-8546-7-10
Pubmed ID
Authors

Ava Jiangyang Guo, Roy Chiyan Choi, Ken Yuzhong Zheng, Vicky Ping Chen, Tina Tingxia Dong, Zheng-Tao Wang, Günter Vollmer, David Taiwai Lau, Karl Wah-keung Tsim

Abstract

Flavonoids, a group of compounds mainly derived from vegetables and herbal medicines, chemically resemble estrogen and some have been used as estrogen substitutes. Kaempferol, a flavonol derived from the rhizome of Kaempferia galanga L., is a well-known phytoestrogen possessing osteogenic effects that is also found in a large number of plant foods.The herb K. galanga is a popular traditional aromatic medicinal plant that is widely used as food spice and in medicinal industries. In the present study, both the estrogenic and osteogenic properties of kaempferol are evaluated.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
South Africa 2 3%
Unknown 66 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 19%
Student > Ph. D. Student 10 15%
Student > Master 7 10%
Student > Bachelor 7 10%
Other 4 6%
Other 12 18%
Unknown 15 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 21%
Biochemistry, Genetics and Molecular Biology 11 16%
Medicine and Dentistry 9 13%
Pharmacology, Toxicology and Pharmaceutical Science 5 7%
Chemistry 3 4%
Other 6 9%
Unknown 20 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 2015.
All research outputs
#7,960,693
of 25,374,917 outputs
Outputs from Chinese Medicine
#150
of 660 outputs
Outputs of similar age
#53,287
of 175,003 outputs
Outputs of similar age from Chinese Medicine
#4
of 9 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 660 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has done well, scoring higher than 76% 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 175,003 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% 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 5 of them.