High content screening: seeing is believing
Trends in Biotechnology, ISSN: 0167-7799, Vol: 28, Issue: 5, Page: 237-245
2010
- 339Citations
- 620Captures
- 1Mentions
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
- Citations339
- Citation Indexes339
- 339
- CrossRef309
- Captures620
- Readers620
- 620
- Mentions1
- News Mentions1
- 1
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Cytiva: Revolutionizing drug discovery: Paint-by-cell
Paint-by-cell is a high-content image-based screening assay that integrates AI and ML methodologies. It offers a more efficient and insightful approach to drug discovery, revolutionizing
Review Description
High content screening (HCS) combines the efficiency of high-throughput techniques with the ability of cellular imaging to collect quantitative data from complex biological systems. HCS technology is integrated into all aspects of contemporary drug discovery, including primary compound screening, post-primary screening capable of supporting structure–activity relationships, and early evaluation of ADME (absorption, distribution, metabolism and excretion)/toxicity properties and complex multivariate drug profiling. Recently, high content approaches have been used extensively to interrogate stem cell biology. Despite these dramatic advances, a number of significant challenges remain related to the use of more biology- and disease - relevant cell systems, the development of informative reagents to measure and manipulate cellular events, and the integration of data management and informatics.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S0167779910000351; http://dx.doi.org/10.1016/j.tibtech.2010.02.005; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=77951975169&origin=inward; http://www.ncbi.nlm.nih.gov/pubmed/20346526; https://linkinghub.elsevier.com/retrieve/pii/S0167779910000351; https://dx.doi.org/10.1016/j.tibtech.2010.02.005
Elsevier BV
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