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Microsatellite marker development, mapping and applications in rice genetics and breeding

Overview of attention for article published in Plant Molecular Biology, September 1997
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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 (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

news
1 news outlet
policy
1 policy source

Citations

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306 Dimensions

Readers on

mendeley
171 Mendeley
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Title
Microsatellite marker development, mapping and applications in rice genetics and breeding
Published in
Plant Molecular Biology, September 1997
DOI 10.1023/a:1005711431474
Pubmed ID
Authors

Susan R. McCouch, Xiuli Chen, Olivier Panaud, Svetlana Temnykh, Yunbi Xu, Yong Gu Cho, Ning Huang, Takashige Ishii, Matthew Blair

Abstract

Microsatellites are simple, tandemly repeated di- to tetra-nucleotide sequence motifs flanked by unique sequences. They are valuable as genetic markers because they are co-dominant, detect high levels of allelic diversity, and are easily and economically assayed by the polymerase chain reaction (PCR). Results from screening a rice genomic library suggest that there are an estimated 5700-10,000 microsatellites in rice, with the relative frequency of different repeats decreasing with increasing size of the motif. A map consisting of 120 microsatellite markers demonstrates that they are well distributed throughout the 12 chromosomes of rice. Five multiple copy primer sequences have been identified that could be mapped to independent chromosomal locations. The current level of genome coverage provided by these simple sequence length polymorphisms (SSLPs) in rice is sufficient to be useful for genotype identification, gene and quantitative trail locus (QTL) analysis, screening of large insert libraries, and marker-assisted selection in breeding. Studies of allelic diversity have documented up to 25 alleles at a single locus in cultivated rice germplasm and provide evidence that amplification in wild relatives of Oryza sativa is generally reliable. The availability of increasing numbers of mapped SSLP markers can be expected to complement existing RFLP and AFLP maps, increasing the power and resolution of genome analysis in rice.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 171 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Philippines 5 3%
Malaysia 3 2%
Germany 2 1%
United States 2 1%
Ethiopia 1 <1%
Kenya 1 <1%
Australia 1 <1%
Brazil 1 <1%
Netherlands 1 <1%
Other 8 5%
Unknown 146 85%

Demographic breakdown

Readers by professional status Count As %
Researcher 51 30%
Student > Ph. D. Student 46 27%
Student > Master 30 18%
Student > Bachelor 15 9%
Student > Postgraduate 10 6%
Other 34 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 151 88%
Biochemistry, Genetics and Molecular Biology 17 10%
Environmental Science 4 2%
Computer Science 4 2%
Chemical Engineering 2 1%
Other 4 2%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 22 June 2018.
All research outputs
#3,415,054
of 25,373,627 outputs
Outputs from Plant Molecular Biology
#123
of 2,880 outputs
Outputs of similar age
#1,973
of 28,407 outputs
Outputs of similar age from Plant Molecular Biology
#2
of 17 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,880 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done particularly well, scoring higher than 95% 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 28,407 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 92% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.