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Polimorfismos genéticos e endometriose: A contribuição dos genes que regulam a função vascular e o remodelamento de tecidos

Overview of attention for article published in Revista da Associação Médica Brasileira, September 2012
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

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1 news outlet
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27 Mendeley
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Article details
Title
Polimorfismos genéticos e endometriose: A contribuição dos genes que regulam a função vascular e o remodelamento de tecidos
Published in
Revista da Associação Médica Brasileira, September 2012
DOI 10.1590/s0104-42302012000500022
Pubmed ID
Authors
Abstract

Endometriosis is a benign gynecological disease characterized by the presence and growth of endometrial cells outside the uterus. Genetic, endocrine, immunological, and environmental factors have been suggested in its pathogenesis. A great number of studies have related genetic polymorphisms as a factor that contributes to the development of endometriosis. This review presents a detailed description of the contribution of genetic polymorphisms in genes that regulate vascular function and tissue remodeling in endometriosis (alpha 2-HS glycoprotein [AHSG], epidermal growth factor receptor [EGFR], vascular endothelial growth factor [VEGF], endostatin, plasminogen activator inhibitor 1 [PAI-1], angiotensin I-converting enzyme [ACE], and matrix metalloproteinases [MMPs]). Some polymorphisms of the VEGF (-460 C/T, +405 G/C, +936 C/T), PAI, MMP-1, 2, and 3 genes were widely studied, while polymorphisms of the AHSG, EGF, endostatin, and VEGF (-1154 G/A, -2578 A/C) genes were not. In this latter case, additional studies are required to confirm the findings of the few studies that have analyzed these single nucleotide polymorphisms (SNPs). Additionally, studies that found a positive or negative association of SNP with endometriosis emphasize the relevance of studies with a large number of control cases to confirm their findings. The haplotype analysis was performed only for the VEGF (-460, +405, -1154 and -2578), ACE (-240/2350) and MMP-1, 2, 3, and 9 genes, and in most of them, there was no association with endometriosis. Of the eight works that analyzed haplotypes of the VEGF gene, five did not associate them with endometriosis. Haplotypes of ACE and MMP-2 genes were not associated with endometriosis, while those of MMP-1, 3, and 9 genes were related to a high risk for the disease.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 4 15%
Student > Doctoral Student 3 11%
Student > Bachelor 3 11%
Student > Master 3 11%
Professor > Associate Professor 3 11%
Other 7 26%
Unknown 4 15%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 9 33%
Agricultural and Biological Sciences 6 22%
Biochemistry, Genetics and Molecular Biology 4 15%
Social Sciences 1 4%
Chemistry 1 4%
Other 0 0%
Unknown 6 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 14 July 2025.
All research outputs
#5,935,710
of 28,857,237 outputs
Outputs from Revista da Associação Médica Brasileira
#108
of 1,211 outputs
Outputs of similar age
#39,543
of 196,916 outputs
Outputs of similar age from Revista da Associação Médica Brasileira
#1
of 10 outputs
Altmetric has tracked 28,857,237 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,211 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done particularly well, scoring higher than 90% 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 196,916 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 10 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