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Rapid separation of developing Arabidopsis seeds from siliques for RNA or metabolite analysis

Overview of attention for article published in Plant Methods, March 2013
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About this Attention Score

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

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5 X users

Citations

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14 Dimensions

Readers on

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43 Mendeley
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Title
Rapid separation of developing Arabidopsis seeds from siliques for RNA or metabolite analysis
Published in
Plant Methods, March 2013
DOI 10.1186/1746-4811-9-9
Pubmed ID
Authors

Philip David Bates, Jeremy Burke Jewell, John Browse

Abstract

Protein, starch and oil produced in plant seeds are major renewable sources of food, chemicals and biofuels. Developing Arabidopsis thaliana seeds are commonly utilized as a model for seed crop research. However, due to the very small size of Arabidopsis seeds efficient collection of large amounts of tissue for gene expression or metabolite analysis is very difficult and time consuming.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Mexico 1 2%
Unknown 41 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 26%
Student > Ph. D. Student 9 21%
Professor > Associate Professor 4 9%
Student > Bachelor 3 7%
Student > Doctoral Student 2 5%
Other 7 16%
Unknown 7 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 30 70%
Biochemistry, Genetics and Molecular Biology 4 9%
Medicine and Dentistry 1 2%
Unknown 8 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 29 June 2021.
All research outputs
#8,262,445
of 25,374,917 outputs
Outputs from Plant Methods
#544
of 1,262 outputs
Outputs of similar age
#68,673
of 210,390 outputs
Outputs of similar age from Plant Methods
#3
of 9 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 1,262 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one has gotten more attention than average, scoring higher than 55% 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 210,390 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 66% 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.