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OPTIMAS-DW: A comprehensive transcriptomics, metabolomics, ionomics, proteomics and phenomics data resource for maize

Overview of attention for article published in BMC Plant Biology, December 2012
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  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

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Title
OPTIMAS-DW: A comprehensive transcriptomics, metabolomics, ionomics, proteomics and phenomics data resource for maize
Published in
BMC Plant Biology, December 2012
DOI 10.1186/1471-2229-12-245
Pubmed ID
Authors

Christian Colmsee, Martin Mascher, Tobias Czauderna, Anja Hartmann, Urte Schlüter, Nina Zellerhoff, Jessica Schmitz, Andrea Bräutigam, Thea R Pick, Philipp Alter, Manfred Gahrtz, Sandra Witt, Alisdair R Fernie, Frederik Börnke, Holger Fahnenstich, Marcel Bucher, Thomas Dresselhaus, Andreas PM Weber, Falk Schreiber, Uwe Scholz, Uwe Sonnewald

Abstract

Maize is a major crop plant, grown for human and animal nutrition, as well as a renewable resource for bioenergy. When looking at the problems of limited fossil fuels, the growth of the world's population or the world's climate change, it is important to find ways to increase the yield and biomass of maize and to study how it reacts to specific abiotic and biotic stress situations. Within the OPTIMAS systems biology project maize plants were grown under a large set of controlled stress conditions, phenotypically characterised and plant material was harvested to analyse the effect of specific environmental conditions or developmental stages. Transcriptomic, metabolomic, ionomic and proteomic parameters were measured from the same plant material allowing the comparison of results across different omics domains. A data warehouse was developed to store experimental data as well as analysis results of the performed experiments.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 3 3%
Colombia 1 1%
Belgium 1 1%
Unknown 84 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 27%
Student > Ph. D. Student 16 18%
Student > Master 9 10%
Professor 6 7%
Student > Doctoral Student 6 7%
Other 21 24%
Unknown 7 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 50 56%
Biochemistry, Genetics and Molecular Biology 10 11%
Computer Science 4 4%
Chemistry 4 4%
Environmental Science 3 3%
Other 7 8%
Unknown 11 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 January 2013.
All research outputs
#14,638,545
of 23,881,329 outputs
Outputs from BMC Plant Biology
#1,115
of 3,322 outputs
Outputs of similar age
#170,091
of 285,720 outputs
Outputs of similar age from BMC Plant Biology
#26
of 55 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,322 research outputs from this source. They receive a mean Attention Score of 3.0. This one has gotten more attention than average, scoring higher than 64% 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 285,720 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 55 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.