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Mapping dynamic QTL for plant height in triticale

Overview of attention for article published in BMC Genomic Data, May 2014
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Title
Mapping dynamic QTL for plant height in triticale
Published in
BMC Genomic Data, May 2014
DOI 10.1186/1471-2156-15-59
Pubmed ID
Authors

Tobias Würschum, Wenxin Liu, Lucas Busemeyer, Matthew R Tucker, Jochen C Reif, Elmar A Weissmann, Volker Hahn, Arno Ruckelshausen, Hans Peter Maurer

Abstract

Plant height is a prime example of a dynamic trait that changes constantly throughout adult development. In this study we utilised a large triticale mapping population, comprising 647 doubled haploid lines derived from 4 families, to phenotype for plant height by a precision phenotyping platform at multiple time points.

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The data shown below were collected from the profile of 1 X user 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 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 30%
Researcher 10 27%
Student > Ph. D. Student 5 14%
Student > Bachelor 2 5%
Student > Doctoral Student 1 3%
Other 2 5%
Unknown 6 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 23 62%
Biochemistry, Genetics and Molecular Biology 3 8%
Computer Science 2 5%
Engineering 2 5%
Energy 1 3%
Other 0 0%
Unknown 6 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 19 May 2014.
All research outputs
#22,756,649
of 25,371,288 outputs
Outputs from BMC Genomic Data
#1,008
of 1,204 outputs
Outputs of similar age
#208,184
of 240,993 outputs
Outputs of similar age from BMC Genomic Data
#26
of 30 outputs
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So far Altmetric has tracked 1,204 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.