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Strategies and methods to study female-specific cardiovascular health and disease: a guide for clinical scientists

Overview of attention for article published in Biology of Sex Differences, March 2016
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  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

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8 X users

Citations

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Title
Strategies and methods to study female-specific cardiovascular health and disease: a guide for clinical scientists
Published in
Biology of Sex Differences, March 2016
DOI 10.1186/s13293-016-0073-y
Pubmed ID
Authors

Pamela Ouyang, Nanette K. Wenger, Doris Taylor, Janet W. Rich-Edwards, Meir Steiner, Leslee J. Shaw, Sarah L. Berga, Virginia M. Miller, Noel Bairey Merz

Abstract

In 2001, the Institute of Medicine's (IOM) report, "Exploring the Biological Contributions to Human Health: Does Sex Matter?" advocated for better understanding of the differences in human diseases between the sexes, with translation of these differences into clinical practice. Sex differences are well documented in the prevalence of cardiovascular (CV) risk factors, the clinical manifestation and incidence of cardiovascular disease (CVD), and the impact of risk factors on outcomes. There are also physiologic and psychosocial factors unique to women that may affect CVD risk, such as issues related to reproduction. The Society for Women's Health Research (SWHR) CV Network compiled an inventory of sex-specific strategies and methods for the study of women and CV health and disease across the lifespan. References for methods and strategy details are provided to gather and evaluate this information. Some items comprise robust measures; others are in development. To address female-specific CV health and disease in population, physiology, and clinical trial research, data should be collected on reproductive history, psychosocial variables, and other factors that disproportionately affect CVD in women. Variables related to reproductive health include the following: age of menarche, menstrual cycle regularity, hormone levels, oral contraceptive use, pregnancy history/complications, polycystic ovary syndrome (PCOS) components, menopause age, and use and type of menopausal hormone therapy. Other factors that differentially affect women's CV risk include diabetes mellitus, autoimmune inflammatory disease, and autonomic vasomotor control. Sex differences in aging as well as psychosocial variables such as depression and stress should also be considered. Women are frequently not included/enrolled in mixed-sex CVD studies; when they are included, information on these variables is generally not collected. These omissions limit the ability to determine the role of sex-specific contributors to CV health and disease. Lack of sex-specific knowledge contributes to the CVD health disparities that women face. The purpose of this review is to encourage investigators to consider ways to increase the usefulness of physiological and psychosocial data obtained from clinical populations, in an effort to improve the understanding of sex differences in clinical CVD research and health-care delivery for women and men.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 X users 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 141 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 <1%
Unknown 140 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 20 14%
Researcher 15 11%
Student > Ph. D. Student 15 11%
Student > Doctoral Student 11 8%
Student > Bachelor 10 7%
Other 31 22%
Unknown 39 28%
Readers by discipline Count As %
Medicine and Dentistry 37 26%
Nursing and Health Professions 16 11%
Psychology 11 8%
Biochemistry, Genetics and Molecular Biology 6 4%
Social Sciences 4 3%
Other 16 11%
Unknown 51 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 31 March 2023.
All research outputs
#6,474,833
of 24,666,614 outputs
Outputs from Biology of Sex Differences
#221
of 543 outputs
Outputs of similar age
#86,210
of 306,333 outputs
Outputs of similar age from Biology of Sex Differences
#5
of 10 outputs
Altmetric has tracked 24,666,614 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 543 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.3. This one has gotten more attention than average, scoring higher than 59% 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 306,333 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 71% 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 5 of them.