↓ Skip to main content

Molecular mapping of soybean rust resistance in soybean accession PI 561356 and SNP haplotype analysis of the Rpp1 region in diverse germplasm

Overview of attention for article published in Theoretical and Applied Genetics, July 2012
Altmetric Badge

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 (84th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

patent
5 patents

Citations

dimensions_citation
52 Dimensions

Readers on

mendeley
56 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Molecular mapping of soybean rust resistance in soybean accession PI 561356 and SNP haplotype analysis of the Rpp1 region in diverse germplasm
Published in
Theoretical and Applied Genetics, July 2012
DOI 10.1007/s00122-012-1932-5
Pubmed ID
Authors

Ki-Seung Kim, Jair R. Unfried, David L. Hyten, Reid D. Frederick, Glen L. Hartman, Randall L. Nelson, Qijian Song, Brian W. Diers

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 4%
Brazil 1 2%
Unknown 53 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 21%
Student > Master 12 21%
Researcher 11 20%
Student > Doctoral Student 5 9%
Student > Postgraduate 4 7%
Other 6 11%
Unknown 6 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 42 75%
Biochemistry, Genetics and Molecular Biology 4 7%
Computer Science 1 2%
Engineering 1 2%
Unknown 8 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 27 September 2023.
All research outputs
#3,647,640
of 24,654,416 outputs
Outputs from Theoretical and Applied Genetics
#403
of 3,680 outputs
Outputs of similar age
#23,731
of 168,185 outputs
Outputs of similar age from Theoretical and Applied Genetics
#2
of 15 outputs
Altmetric has tracked 24,654,416 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,680 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done well, scoring higher than 85% 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 168,185 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 84% of its contemporaries.
We're also able to compare this research output to 15 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 93% of its contemporaries.