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An approach for jatropha improvement using pleiotropic QTLs regulating plant growth and seed yield

Overview of attention for article published in Biotechnology for Biofuels, June 2012
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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 (84th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

blogs
1 blog
patent
1 patent

Citations

dimensions_citation
29 Dimensions

Readers on

mendeley
42 Mendeley
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Title
An approach for jatropha improvement using pleiotropic QTLs regulating plant growth and seed yield
Published in
Biotechnology for Biofuels, June 2012
DOI 10.1186/1754-6834-5-42
Pubmed ID
Authors

Fei Sun, Peng Liu, Jian Ye, Loong Chuan Lo, Suying Cao, Lei Li, Gen Hua Yue, Chun Ming Wang

Abstract

Higher seed yield is one of the objectives of jatropha breeding. However, genetic analysis of the yield traits has not been done in jatropha. Quantitative trait loci (QTL) mapping was conducted to identify genetic factors controlling growth and seed yield in jatropha, a promising biofuel crop.

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Indonesia 1 2%
Malaysia 1 2%
Netherlands 1 2%
Thailand 1 2%
Unknown 38 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 36%
Researcher 7 17%
Student > Master 5 12%
Professor 2 5%
Student > Postgraduate 2 5%
Other 8 19%
Unknown 3 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 29 69%
Environmental Science 3 7%
Biochemistry, Genetics and Molecular Biology 3 7%
Engineering 2 5%
Chemistry 1 2%
Other 1 2%
Unknown 3 7%

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 10 March 2016.
All research outputs
#2,814,474
of 17,349,416 outputs
Outputs from Biotechnology for Biofuels
#185
of 1,242 outputs
Outputs of similar age
#20,351
of 132,823 outputs
Outputs of similar age from Biotechnology for Biofuels
#1
of 7 outputs
Altmetric has tracked 17,349,416 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,242 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done well, scoring higher than 84% 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 132,823 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 84% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them