↓ Skip to main content

Interaction of Phytoestrogens with Estrogen Receptors α and β

Overview of attention for article published in Biological and Pharmaceutical Bulletin, January 2001
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#37 of 3,286)
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

blogs
1 blog
twitter
3 X users
patent
20 patents
facebook
1 Facebook page
wikipedia
3 Wikipedia pages
video
3 YouTube creators

Citations

dimensions_citation
530 Dimensions

Readers on

mendeley
187 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
Interaction of Phytoestrogens with Estrogen Receptors α and β
Published in
Biological and Pharmaceutical Bulletin, January 2001
DOI 10.1248/bpb.24.351
Pubmed ID
Authors

Keiko MORITO, Toshiharu HIROSE, Junei KINJO, Tomoki HIRAKAWA, Masafumi OKAWA, Toshihiro NOHARA, Sumito OGAWA, Satoshi INOUE, Masami MURAMATSU, Yukito MASAMUNE

Abstract

The human estrogen receptor (hER) exists as two subtypes, hER alpha and hER beta, that differ in the C-terminal ligand-binding domain and in the N-terminal transactivation domain. In this study, we investigated the estrogenic activities of soy isoflavones after digestion with enteric bacteria in competition binding assays with hER alpha or hER beta protein, and in a gene expression assay using a yeast system. The estrogenic activities of these isoflavones were also investigated by the growth of MCF-7 breast cancer cells. Isoflavone glycoside binds weakly to both receptors and estrogen receptor-dependent transcriptional expression is poor. The aglycones bind more strongly to hER beta than to hER alpha. The binding affinities of genistein, dihydrogenistein and equol are comparable to the binding affinity of 17 beta-estradiol. Equol induces transcription most strongly with hER alpha and hER beta. The concentration required for maximal gene expression is much higher than expected from the binding affinities of the compounds, and the maximal activity induced by these compounds is about half the activity of 17 beta-estradiol. Although genistin binds more weakly to the receptors and induces transcription less than does genistein, it stimulates the growth of MCF-7 cells more strongly than does genistein.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 187 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Singapore 1 <1%
Spain 1 <1%
Japan 1 <1%
Greece 1 <1%
United States 1 <1%
Unknown 181 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 33 18%
Student > Master 29 16%
Student > Bachelor 26 14%
Researcher 20 11%
Other 10 5%
Other 37 20%
Unknown 32 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 48 26%
Biochemistry, Genetics and Molecular Biology 26 14%
Medicine and Dentistry 24 13%
Pharmacology, Toxicology and Pharmaceutical Science 12 6%
Chemistry 11 6%
Other 25 13%
Unknown 41 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 26. 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 13 November 2023.
All research outputs
#1,503,465
of 25,729,842 outputs
Outputs from Biological and Pharmaceutical Bulletin
#37
of 3,286 outputs
Outputs of similar age
#1,884
of 115,271 outputs
Outputs of similar age from Biological and Pharmaceutical Bulletin
#4
of 83 outputs
Altmetric has tracked 25,729,842 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,286 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done particularly well, scoring higher than 98% 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 115,271 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 98% of its contemporaries.
We're also able to compare this research output to 83 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.