↓ Skip to main content

Accounting for variation in designing greenhouse experiments with special reference to greenhouses containing plants on conveyor systems

Overview of attention for article published in Plant Methods, February 2013
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

twitter
4 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
27 Dimensions

Readers on

mendeley
94 Mendeley
citeulike
1 CiteULike
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
Accounting for variation in designing greenhouse experiments with special reference to greenhouses containing plants on conveyor systems
Published in
Plant Methods, February 2013
DOI 10.1186/1746-4811-9-5
Pubmed ID
Authors

Brien CJ, Berger B, Rabie H, Tester M, Chris J Brien, Bettina Berger, Huwaida Rabie, Mark Tester

Abstract

There are a number of unresolved issues in the design of experiments in greenhouses. They include whether statistical designs should be used and, if so, which designs should be used. Also, are there thigmomorphogenic or other effects arising from the movement of plants on conveyor belts within a greenhouse? A two-phase, single-line wheat experiment involving four tactics was conducted in a conventional greenhouse and a fully-automated phenotyping greenhouse (Smarthouse) to investigate these issues.

Twitter Demographics

The data shown below were collected from the profiles of 4 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 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 2%
Germany 2 2%
United States 2 2%
Brazil 2 2%
France 1 1%
Belgium 1 1%
Unknown 84 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 35 37%
Student > Ph. D. Student 19 20%
Student > Master 12 13%
Student > Bachelor 10 11%
Other 7 7%
Other 11 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 67 71%
Environmental Science 8 9%
Unspecified 5 5%
Mathematics 4 4%
Biochemistry, Genetics and Molecular Biology 3 3%
Other 7 7%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 09 March 2017.
All research outputs
#3,791,088
of 9,171,443 outputs
Outputs from Plant Methods
#156
of 354 outputs
Outputs of similar age
#105,185
of 303,256 outputs
Outputs of similar age from Plant Methods
#3
of 9 outputs
Altmetric has tracked 9,171,443 research outputs across all sources so far. This one has received more attention than most of these and is in the 58th percentile.
So far Altmetric has tracked 354 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has gotten more attention than average, scoring higher than 54% 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 303,256 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.