Three views of microbial genomes
Research in Microbiology, ISSN: 0923-2508, Vol: 150, Issue: 9, Page: 773-777
1999
- 52Citations
- 61Captures
- 1Mentions
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
- Citations52
- Citation Indexes52
- 52
- CrossRef48
- Captures61
- Readers61
- 61
- Mentions1
- News Mentions1
- 1
Most Recent News
E. coli genomes, big data, and messy biology
Here, David Ussery from the Department of BioMedical Informatics, UAMS, details E. coli genome diversity, big data, and messy biology. New methods, we discover, allow
Article Description
We describe here GenomeAtlases as a method for visualising three different aspects of complete microbial chromosomes: repeats, DNA structural characteristics, and base composition. We have applied this method to all publicly available genomes, and find a general strand preference of global repeats. The atlas for the Mycoplasma genitalium genome is presented as an example, and results from all three views are consistent with known characteristics of the genome.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S0923250899001163; http://dx.doi.org/10.1016/s0923-2508(99)00116-3; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=0033393081&origin=inward; http://www.ncbi.nlm.nih.gov/pubmed/10673014; https://linkinghub.elsevier.com/retrieve/pii/S0923250899001163; http://linkinghub.elsevier.com/retrieve/pii/S0923250899001163; http://api.elsevier.com/content/article/PII:S0923250899001163?httpAccept=text/xml; http://api.elsevier.com/content/article/PII:S0923250899001163?httpAccept=text/plain; http://dx.doi.org/10.1016/s0923-2508%2899%2900116-3; https://dx.doi.org/10.1016/s0923-2508%2899%2900116-3
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