Ovarian Cancer Genetics and Implications for Imaging and Therapy
Journal of computer assisted tomography, ISSN: 1532-3145, Vol: 43, Issue: 6, Page: 835-845
2019
- 12Citations
- 24Captures
Metric Options: CountsSelecting 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
- Citations12
- Citation Indexes12
- 12
- CrossRef11
- Captures24
- Readers24
- 24
Review Description
Ovarian cancer is the second most common gynecologic malignancy in the United States. Ovarian cancer has a dismal prognosis when diagnosed at an advanced stage. Therapy for these cancers is determined not only by stage but also by their heterogeneous pathologic features, genetic mutations, and biology. In this review, we will discuss types of epithelial ovarian cancer, and their associated genetic mutations and the implications for imaging and treatment.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85075812913&origin=inward; http://dx.doi.org/10.1097/rct.0000000000000932; http://www.ncbi.nlm.nih.gov/pubmed/31738206; https://journals.lww.com/10.1097/RCT.0000000000000932; https://dx.doi.org/10.1097/rct.0000000000000932; https://journals.lww.com/jcat/Abstract/2019/11000/Ovarian_Cancer_Genetics_and_Implications_for.2.aspx
Ovid Technologies (Wolters Kluwer Health)
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