Genetics of Polycystic Ovary Syndrome
Endocrinology and Metabolism Clinics of North America, ISSN: 0889-8529, Vol: 50, Issue: 1, Page: 71-82
2021
- 15Citations
- 54Captures
Metric Options: Counts1 Year3 YearSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations15
- Citation Indexes15
- 15
- CrossRef8
- Captures54
- Readers54
- 51
Review Description
Polycystic ovary syndrome (PCOS) is a complex genetic disorder with many genetic loci contributing small risk. Large genome-wide association studies identified 21 genetic risk loci for PCOS in European and Han Chinese women. The genetic architecture is similar across PCOS diagnostic categories. The next wave of analysis will incorporate large genotyped datasets linked to medical records, increasing numbers and ethnic subsets. The resulting genetic risk loci can then be used to create robust genetic risk scores enhanced with clinical information, environment and lifestyle data for a precision medicine approach to PCOS diagnosis and treatment.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S0889852920300840; http://dx.doi.org/10.1016/j.ecl.2020.10.006; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85099961756&origin=inward; http://www.ncbi.nlm.nih.gov/pubmed/33518187; https://linkinghub.elsevier.com/retrieve/pii/S0889852920300840; https://dx.doi.org/10.1016/j.ecl.2020.10.006
Elsevier BV
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