SIMAP - Structuring the network of protein similarities
Nucleic Acids Research, ISSN: 0305-1048, Vol: 36, Issue: SUPPL. 1, Page: D289-92
2008
- 30Citations
- 49Captures
- 1Mentions
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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.
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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
- Citations30
- Citation Indexes30
- 25
- CrossRef19
- Captures49
- Readers49
- 49
- Mentions1
- References1
- 1
Article Description
Protein sequences are the most important source of evolutionary and functional information for new proteins. In order to facilitate the computationally intensive tasks of sequence analysis, the Similarity Matrix of Proteins (SIMAP) database aims to provide a comprehensive and up-to-date dataset of the pre-calculated sequence similarity matrix and sequence-based features like InterPro domains for all proteins contained in the major public sequence databases. As of September 2007, SIMAP covers ∼17 million proteins and more than 6 million non-redundant sequences and provides a complete annotation based on InterPro 16. Novel features of SIMAP include a new, portlet-based web portal providing multiple, structured views on retrieved proteins and integration of protein clusters and a unique search method for similar domain architectures. Access to SIMAP is freely provided for academic use through the web portal for individuals at http://mips.gsf.de/simap/and through Web Services for programmatic access at http://mips.gsf.de/ webservices/services/SimapService2.0?wsdl. © 2007 The Author(s).
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=38549120716&origin=inward; http://dx.doi.org/10.1093/nar/gkm963; http://www.ncbi.nlm.nih.gov/pubmed/18037617; https://academic.oup.com/nar/article-lookup/doi/10.1093/nar/gkm963; https://dx.doi.org/10.1093/nar/gkm963; https://academic.oup.com/nar/article/36/suppl_1/D289/2508066
Oxford University Press (OUP)
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