Personalized medicine in systemic sclerosis: Facts and promises
Current Rheumatology Reports, ISSN: 1534-6307, Vol: 16, Issue: 6, Page: 425
2014
- 19Citations
- 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
- Citations19
- Citation Indexes19
- 19
- CrossRef10
- Captures54
- Readers54
- 54
Review Description
The concept of personalized medicine has led to a paradigm shift in recent years. It integrates multiple clinical and biological levels of investigation aimed at offering the best possible and patient-tailored healthcare. This holds great potential in a rare and heterogeneous disease such as systemic sclerosis (SSc). The development of validated clinical screening algorithms and the identification of predictors for disease outcomes can help in stratifying patients according to their individual risk of progression. The ongoing search for biomarkers and key pathogenic molecules has brought valuable insights into molecular networks operative in SSc. In parallel, genetic and genomic studies have revealed new SSc susceptibility loci and validated gene expression profiles that might identify patients benefiting from specific therapies. In this review, we focus on recent findings relevant for the concept of personalized medicine in patients with SSc. © Springer Science+Business Media 2014.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84899692519&origin=inward; http://dx.doi.org/10.1007/s11926-014-0425-8; http://www.ncbi.nlm.nih.gov/pubmed/24752884; http://link.springer.com/10.1007/s11926-014-0425-8; https://dx.doi.org/10.1007/s11926-014-0425-8; https://link.springer.com/article/10.1007/s11926-014-0425-8
Springer Science and Business Media LLC
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