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Genome sequence and rapid evolution of the rice pathogen Xanthomonas oryzae pv. oryzae PXO99A

Overview of attention for article published in BMC Genomics, May 2008
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Title
Genome sequence and rapid evolution of the rice pathogen Xanthomonas oryzae pv. oryzae PXO99A
Published in
BMC Genomics, May 2008
DOI 10.1186/1471-2164-9-204
Pubmed ID
Authors

Steven L Salzberg, Daniel D Sommer, Michael C Schatz, Adam M Phillippy, Pablo D Rabinowicz, Seiji Tsuge, Ayako Furutani, Hirokazu Ochiai, Arthur L Delcher, David Kelley, Ramana Madupu, Daniela Puiu, Diana Radune, Martin Shumway, Cole Trapnell, Gudlur Aparna, Gopaljee Jha, Alok Pandey, Prabhu B Patil, Hiromichi Ishihara, Damien F Meyer, Boris Szurek, Valerie Verdier, Ralf Koebnik, J Maxwell Dow, Robert P Ryan, Hisae Hirata, Shinji Tsuyumu, Sang Won Lee, Pamela C Ronald, Ramesh V Sonti, Marie-Anne Van Sluys, Jan E Leach, Frank F White, Adam J Bogdanove

Abstract

Xanthomonas oryzae pv. oryzae causes bacterial blight of rice (Oryza sativa L.), a major disease that constrains production of this staple crop in many parts of the world. We report here on the complete genome sequence of strain PXO99A and its comparison to two previously sequenced strains, KACC10331 and MAFF311018, which are highly similar to one another.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 248 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 2%
France 2 <1%
Brazil 2 <1%
China 2 <1%
Ethiopia 1 <1%
Austria 1 <1%
India 1 <1%
United Kingdom 1 <1%
Canada 1 <1%
Other 5 2%
Unknown 226 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 52 21%
Student > Ph. D. Student 51 21%
Professor > Associate Professor 26 10%
Student > Master 22 9%
Student > Bachelor 19 8%
Other 36 15%
Unknown 42 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 143 58%
Biochemistry, Genetics and Molecular Biology 41 17%
Environmental Science 3 1%
Immunology and Microbiology 3 1%
Computer Science 3 1%
Other 10 4%
Unknown 45 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 December 2013.
All research outputs
#17,285,036
of 25,371,288 outputs
Outputs from BMC Genomics
#7,120
of 11,244 outputs
Outputs of similar age
#76,225
of 89,187 outputs
Outputs of similar age from BMC Genomics
#49
of 55 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 27th percentile – i.e., 27% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 89,187 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 55 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.