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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, January 2008
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Mentioned by

twitter
2 tweeters

Citations

dimensions_citation
291 Dimensions

Readers on

mendeley
231 Mendeley
citeulike
2 CiteULike
connotea
1 Connotea
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Title
Genome sequence and rapid evolution of the rice pathogen Xanthomonas oryzae pv. oryzae PXO99A
Published in
BMC Genomics, January 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.

Twitter Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 231 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 3%
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 209 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 52 23%
Student > Ph. D. Student 49 21%
Professor > Associate Professor 25 11%
Student > Bachelor 20 9%
Student > Master 19 8%
Other 32 14%
Unknown 34 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 139 60%
Biochemistry, Genetics and Molecular Biology 38 16%
Environmental Science 3 1%
Immunology and Microbiology 3 1%
Computer Science 2 <1%
Other 8 3%
Unknown 38 16%

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
#3,383,244
of 5,122,689 outputs
Outputs from BMC Genomics
#3,468
of 4,657 outputs
Outputs of similar age
#81,948
of 131,951 outputs
Outputs of similar age from BMC Genomics
#121
of 205 outputs
Altmetric has tracked 5,122,689 research outputs across all sources so far. This one is in the 29th percentile – i.e., 29% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,657 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 20th percentile – i.e., 20% 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 131,951 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 205 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.