↓ Skip to main content

DNA microarray data integration by ortholog gene analysis reveals potential molecular mechanisms of estrogen-dependent growth of human uterine fibroids

Overview of attention for article published in BMC Women's Health, April 2007
Altmetric Badge

Mentioned by

wikipedia
1 Wikipedia page

Readers on

mendeley
26 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
DNA microarray data integration by ortholog gene analysis reveals potential molecular mechanisms of estrogen-dependent growth of human uterine fibroids
Published in
BMC Women's Health, April 2007
DOI 10.1186/1472-6874-7-5
Pubmed ID
Authors

Tao Wei, Andrew G Geiser, Hui-Rong Qian, Chen Su, Leah M Helvering, Nalini H Kulkarini, Jianyong Shou, Mathias N'Cho, Henry U Bryant, Jude E Onyia

Abstract

Uterine fibroids or leiomyoma are a common benign smooth muscle tumor. The tumor growth is well known to be estrogen-dependent. However, the molecular mechanisms of its estrogen-dependency is not well understood.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 4%
Spain 1 4%
United States 1 4%
Russia 1 4%
Unknown 22 85%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 19%
Researcher 4 15%
Student > Ph. D. Student 3 12%
Student > Master 3 12%
Professor > Associate Professor 2 8%
Other 3 12%
Unknown 6 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 35%
Medicine and Dentistry 5 19%
Biochemistry, Genetics and Molecular Biology 3 12%
Mathematics 1 4%
Philosophy 1 4%
Other 1 4%
Unknown 6 23%
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 20 December 2007.
All research outputs
#7,453,126
of 22,785,242 outputs
Outputs from BMC Women's Health
#791
of 1,809 outputs
Outputs of similar age
#27,045
of 76,664 outputs
Outputs of similar age from BMC Women's Health
#2
of 2 outputs
Altmetric has tracked 22,785,242 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 1,809 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one has gotten more attention than average, scoring higher than 53% 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 76,664 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% 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.