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Tissue-Specific Estrogen Action

Overview of attention for book
Attention for Chapter 21: Preclinical characterization of selective estrogen receptor beta agonists: new insights into their therapeutic potential.
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1 Wikipedia page

Citations

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15 Mendeley
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Chapter title
Preclinical characterization of selective estrogen receptor beta agonists: new insights into their therapeutic potential.
Chapter number 21
Book title
Tissue-Specific Estrogen Action
Published in
Biological Engineering, September 2007
DOI 10.1007/2789_2006_021
Pubmed ID
Book ISBNs
978-3-54-049547-5, 978-3-54-049548-2
Authors

Harris HA, Harris, H. A.

Abstract

It has now been over 10 years since Jan-Ake Gustafsson revealed the existence of a second form of the estrogen receptor (ERbeta) at a 1996 Keystone Symposium. Since then, substantial success has been made in distinguishing its potential biological functions from the previously known form (now called ERalpha) and how it might be exploited as a drug target. Subtype selective agonists have been particularly useful in this regard and suggest that ERbeta agonists may be useful for a variety of clinical applications without triggering classic estrogenic side effects such as uterine stimulation. These applications include inflammatory bowel disease, rheumatoid arthritis, endometriosis, and sepsis. This manuscript will summarize illustrative data for three ERbeta selective agonists, ERB-041, WAY-202196, and WAY-200070.

Mendeley readers

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 %
Researcher 4 27%
Student > Master 3 20%
Other 1 7%
Student > Ph. D. Student 1 7%
Student > Doctoral Student 1 7%
Other 2 13%
Unknown 3 20%
Readers by discipline Count As %
Medicine and Dentistry 5 33%
Immunology and Microbiology 3 20%
Pharmacology, Toxicology and Pharmaceutical Science 1 7%
Biochemistry, Genetics and Molecular Biology 1 7%
Unknown 5 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 21 May 2012.
All research outputs
#7,454,951
of 22,790,780 outputs
Outputs from Biological Engineering
#3
of 8 outputs
Outputs of similar age
#24,897
of 70,009 outputs
Outputs of similar age from Biological Engineering
#2
of 2 outputs
Altmetric has tracked 22,790,780 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8 research outputs from this source. They receive a mean Attention Score of 3.4. This one scored the same or higher as 5 of them.
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 70,009 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.