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CerealsDB 3.0: expansion of resources and data integration

Overview of attention for article published in BMC Bioinformatics, June 2016
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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 (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

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Title
CerealsDB 3.0: expansion of resources and data integration
Published in
BMC Bioinformatics, June 2016
DOI 10.1186/s12859-016-1139-x
Pubmed ID
Authors

Paul A. Wilkinson, Mark O. Winfield, Gary L. A. Barker, Simon Tyrrell, Xingdong Bian, Alexandra M. Allen, Amanda Burridge, Jane A. Coghill, Christy Waterfall, Mario Caccamo, Robert P. Davey, Keith J. Edwards

Abstract

The increase in human populations around the world has put pressure on resources, and as a consequence food security has become an important challenge for the 21st century. Wheat (Triticum aestivum) is one of the most important crops in human and livestock diets, and the development of wheat varieties that produce higher yields, combined with increased resistance to pests and resilience to changes in climate, has meant that wheat breeding has become an important focus of scientific research. In an attempt to facilitate these improvements in wheat, plant breeders have employed molecular tools to help them identify genes for important agronomic traits that can be bred into new varieties. Modern molecular techniques have ensured that the rapid and inexpensive characterisation of SNP markers and their validation with modern genotyping methods has produced a valuable resource that can be used in marker assisted selection. CerealsDB was created as a means of quickly disseminating this information to breeders and researchers around the globe. CerealsDB version 3.0 is an online resource that contains a wide range of genomic datasets for wheat that will assist plant breeders and scientists to select the most appropriate markers for use in marker assisted selection. CerealsDB includes a database which currently contains in excess of a million putative varietal SNPs, of which several hundreds of thousands have been experimentally validated. In addition, CerealsDB also contains new data on functional SNPs predicted to have a major effect on protein function and we have constructed a web service to encourage data integration and high-throughput programmatic access. CerealsDB is an open access website that hosts information on SNPs that are considered useful for both plant breeders and research scientists. The recent inclusion of web services designed to federate genomic data resources allows the information on CerealsDB to be more fully integrated with the WheatIS network and other biological databases.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 50 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 22%
Researcher 10 20%
Student > Bachelor 6 12%
Student > Master 4 8%
Other 3 6%
Other 4 8%
Unknown 12 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 48%
Biochemistry, Genetics and Molecular Biology 5 10%
Economics, Econometrics and Finance 3 6%
Environmental Science 1 2%
Computer Science 1 2%
Other 3 6%
Unknown 13 26%
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 04 December 2019.
All research outputs
#3,072,238
of 22,879,161 outputs
Outputs from BMC Bioinformatics
#1,090
of 7,298 outputs
Outputs of similar age
#57,135
of 352,727 outputs
Outputs of similar age from BMC Bioinformatics
#10
of 89 outputs
Altmetric has tracked 22,879,161 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 7,298 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. 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 352,727 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 83% of its contemporaries.
We're also able to compare this research output to 89 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.