Genetic alterations in normal and malignant breast tissue
Breast Cancer: A Lobar Disease, Page: 53-66
2008
- 1Citations
- 2Captures
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
- Citations1
- Citation Indexes1
- CrossRef1
- Captures2
- Readers2
Book Chapter Description
Breast cancer is a heterogeneous disease with a wide spectrum of morphological subtypes and a range of clinical behaviors. Over a long time period, pathologists have evolved a system of recording cancer-related data that reflects this heterogeneity as well as providing information relevant to prognosis and prediction of response to therapy. It is well established that subtype of breast cancer, grade, and stage (Ellis et al. 1992; Elston and Ellis 1991) provide prognostic information and the use of steroid receptor analysis as well as overexpression and amplification of HER2 provides prognostic and predictive data to manage patients (Oldenhuis et al. 2008). Nonetheless, there are limitations to these data and it is well known clinically that even within the same subtype (e.g., tubular carcinoma) or same stage of disease (e.g., lymph node positive), the behavior can be markedly different. Understanding the molecular abnormalities that drive the biology of each disease will assist our ability to specifically inhibit it. © 2011 Springer-Verlag London Limited.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84892362792&origin=inward; http://dx.doi.org/10.1007/978-1-84996-314-5_4; https://link.springer.com/10.1007/978-1-84996-314-5_4; http://www.springerlink.com/index/10.1007/978-1-84996-314-5_4; http://www.springerlink.com/index/pdf/10.1007/978-1-84996-314-5_4; https://dx.doi.org/10.1007/978-1-84996-314-5_4; https://link.springer.com/chapter/10.1007/978-1-84996-314-5_4
Springer Science and Business Media LLC
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