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Polymorphic Analysis of Landraces of Japanese Rice using Microsatellite Markers

Overview of attention for article published in Breeding Research, January 2004
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (79th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

twitter
3 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
3 Mendeley
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Title
Polymorphic Analysis of Landraces of Japanese Rice using Microsatellite Markers
Published in
Breeding Research, January 2004
DOI 10.1270/jsbbr.6.125
Authors

Masako Okoshi, Jingjie Hu, Ryuji Ishikawa, Tatsuhito Fujimura

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 33%
Researcher 1 33%
Unknown 1 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 33%
Agricultural and Biological Sciences 1 33%
Unknown 1 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 15 November 2023.
All research outputs
#7,109,576
of 25,559,053 outputs
Outputs from Breeding Research
#8
of 48 outputs
Outputs of similar age
#29,045
of 144,373 outputs
Outputs of similar age from Breeding Research
#1
of 5 outputs
Altmetric has tracked 25,559,053 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 48 research outputs from this source. They receive a mean Attention Score of 3.0. This one scored the same or higher as 40 of them.
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 144,373 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them