Stress Knowledge Map: A knowledge graph resource for systems biology analysis of plant stress responses
Plant Communications, ISSN: 2590-3462, Vol: 5, Issue: 6, Page: 100920
2024
- 6Citations
- 51Captures
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
- Citations6
- Citation Indexes6
- CrossRef2
- Captures51
- Readers51
- 51
Article Description
Stress Knowledge Map (SKM; https://skm.nib.si ) is a publicly available resource containing two complementary knowledge graphs that describe the current knowledge of biochemical, signaling, and regulatory molecular interactions in plants: a highly curated model of plant stress signaling (PSS; 543 reactions) and a large comprehensive knowledge network (488 390 interactions). Both were constructed by domain experts through systematic curation of diverse literature and database resources. SKM provides a single entry point for investigations of plant stress response and related growth trade-offs, as well as interactive explorations of current knowledge. PSS is also formulated as a qualitative and quantitative model for systems biology and thus represents a starting point for a plant digital twin. Here, we describe the features of SKM and show, through two case studies, how it can be used for complex analyses, including systematic hypothesis generation and design of validation experiments, or to gain new insights into experimental observations in plant biology.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S2590346224001901; http://dx.doi.org/10.1016/j.xplc.2024.100920; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85193424368&origin=inward; http://www.ncbi.nlm.nih.gov/pubmed/38616489; https://linkinghub.elsevier.com/retrieve/pii/S2590346224001901; https://dx.doi.org/10.1016/j.xplc.2024.100920
Elsevier BV
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know