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A powerful tool for genome analysis in maize: development and evaluation of the high density 600 k SNP genotyping array

Overview of attention for article published in BMC Genomics, September 2014
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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 (81st percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

twitter
2 tweeters
patent
4 patents

Citations

dimensions_citation
194 Dimensions

Readers on

mendeley
176 Mendeley
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Title
A powerful tool for genome analysis in maize: development and evaluation of the high density 600 k SNP genotyping array
Published in
BMC Genomics, September 2014
DOI 10.1186/1471-2164-15-823
Pubmed ID
Authors

Sandra Unterseer, Eva Bauer, Georg Haberer, Michael Seidel, Carsten Knaak, Milena Ouzunova, Thomas Meitinger, Tim M Strom, Ruedi Fries, Hubert Pausch, Christofer Bertani, Alessandro Davassi, Klaus FX Mayer, Chris-Carolin Schön

Abstract

High density genotyping data are indispensable for genomic analyses of complex traits in animal and crop species. Maize is one of the most important crop plants worldwide, however a high density SNP genotyping array for analysis of its large and highly dynamic genome was not available so far.

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 176 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 5 3%
Germany 2 1%
United States 2 1%
Unknown 167 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 51 29%
Researcher 38 22%
Student > Master 21 12%
Student > Doctoral Student 18 10%
Professor > Associate Professor 9 5%
Other 22 13%
Unknown 17 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 128 73%
Biochemistry, Genetics and Molecular Biology 16 9%
Unspecified 3 2%
Veterinary Science and Veterinary Medicine 1 <1%
Environmental Science 1 <1%
Other 2 1%
Unknown 25 14%

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 14 April 2022.
All research outputs
#3,841,741
of 21,562,248 outputs
Outputs from BMC Genomics
#1,640
of 10,342 outputs
Outputs of similar age
#40,371
of 225,180 outputs
Outputs of similar age from BMC Genomics
#2
of 23 outputs
Altmetric has tracked 21,562,248 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,342 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done well, scoring higher than 84% 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 225,180 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 81% of its contemporaries.
We're also able to compare this research output to 23 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 95% of its contemporaries.