Mass spectrometry imaging for plant biology: a review
Phytochemistry Reviews, ISSN: 1572-980X, Vol: 15, Issue: 3, Page: 445-488
2016
- 236Citations
- 396Captures
- 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.
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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
- Citations236
- Citation Indexes235
- 235
- CrossRef204
- Patent Family Citations1
- Patent Families1
- Captures396
- Readers396
- 396
- Mentions1
- References1
- Wikipedia1
Review Description
Mass spectrometry imaging (MSI) is a developing technique to measure the spatio-temporal distribution of many biomolecules in tissues. Over the preceding decade, MSI has been adopted by plant biologists and applied in a broad range of areas, including primary metabolism, natural products, plant defense, plant responses to abiotic and biotic stress, plant lipids and the developing field of spatial metabolomics. This review covers recent advances in plant-based MSI, general aspects of instrumentation, analytical approaches, sample preparation and the current trends in respective plant research.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84944710940&origin=inward; http://dx.doi.org/10.1007/s11101-015-9440-2; http://www.ncbi.nlm.nih.gov/pubmed/27340381; http://link.springer.com/10.1007/s11101-015-9440-2; https://dx.doi.org/10.1007/s11101-015-9440-2; https://link.springer.com/article/10.1007/s11101-015-9440-2
Springer Science and Business Media LLC
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