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Validation of rice genome sequence by optical mapping

Overview of attention for article published in BMC Genomics, August 2007
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

policy
1 policy source
patent
18 patents
wikipedia
1 Wikipedia page

Citations

dimensions_citation
111 Dimensions

Readers on

mendeley
139 Mendeley
citeulike
1 CiteULike
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Title
Validation of rice genome sequence by optical mapping
Published in
BMC Genomics, August 2007
DOI 10.1186/1471-2164-8-278
Pubmed ID
Authors

Shiguo Zhou, Michael C Bechner, Michael Place, Chris P Churas, Louise Pape, Sally A Leong, Rod Runnheim, Dan K Forrest, Steve Goldstein, Miron Livny, David C Schwartz

Abstract

Rice feeds much of the world, and possesses the simplest genome analyzed to date within the grass family, making it an economically relevant model system for other cereal crops. Although the rice genome is sequenced, validation and gap closing efforts require purely independent means for accurate finishing of sequence build data.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 139 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 4%
Colombia 1 <1%
Brazil 1 <1%
Canada 1 <1%
India 1 <1%
China 1 <1%
Argentina 1 <1%
Unknown 128 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 34 24%
Researcher 32 23%
Student > Bachelor 14 10%
Student > Master 13 9%
Student > Postgraduate 9 6%
Other 23 17%
Unknown 14 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 82 59%
Biochemistry, Genetics and Molecular Biology 13 9%
Computer Science 6 4%
Engineering 5 4%
Physics and Astronomy 4 3%
Other 11 8%
Unknown 18 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 16 January 2024.
All research outputs
#2,384,559
of 26,017,215 outputs
Outputs from BMC Genomics
#624
of 11,367 outputs
Outputs of similar age
#5,041
of 82,249 outputs
Outputs of similar age from BMC Genomics
#4
of 40 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,367 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done particularly well, scoring higher than 94% of its peers.
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 82,249 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.