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AGROBEST: an efficient Agrobacterium-mediated transient expression method for versatile gene function analyses in Arabidopsis seedlings

Overview of attention for article published in Plant Methods, June 2014
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

twitter
6 tweeters
f1000
1 research highlight platform

Citations

dimensions_citation
124 Dimensions

Readers on

mendeley
459 Mendeley
citeulike
1 CiteULike
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Title
AGROBEST: an efficient Agrobacterium-mediated transient expression method for versatile gene function analyses in Arabidopsis seedlings
Published in
Plant Methods, June 2014
DOI 10.1186/1746-4811-10-19
Pubmed ID
Authors

Hung-Yi Wu, Kun-Hsiang Liu, Yi-Chieh Wang, Jing-Fen Wu, Wan-Ling Chiu, Chao-Ying Chen, Shu-Hsing Wu, Jen Sheen, Erh-Min Lai

Abstract

Transient gene expression via Agrobacterium-mediated DNA transfer offers a simple and fast method to analyze transgene functions. Although Arabidopsis is the most-studied model plant with powerful genetic and genomic resources, achieving highly efficient and consistent transient expression for gene function analysis in Arabidopsis remains challenging.

Twitter Demographics

The data shown below were collected from the profiles of 6 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 459 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 <1%
United States 2 <1%
Switzerland 1 <1%
Italy 1 <1%
Czechia 1 <1%
New Zealand 1 <1%
Iran, Islamic Republic of 1 <1%
India 1 <1%
Spain 1 <1%
Other 3 <1%
Unknown 445 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 104 23%
Researcher 93 20%
Student > Master 55 12%
Student > Bachelor 53 12%
Student > Doctoral Student 21 5%
Other 61 13%
Unknown 72 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 258 56%
Biochemistry, Genetics and Molecular Biology 101 22%
Medicine and Dentistry 4 <1%
Computer Science 2 <1%
Chemical Engineering 2 <1%
Other 10 2%
Unknown 82 18%

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 23 September 2016.
All research outputs
#6,300,172
of 21,340,745 outputs
Outputs from Plant Methods
#393
of 1,014 outputs
Outputs of similar age
#57,646
of 204,233 outputs
Outputs of similar age from Plant Methods
#2
of 5 outputs
Altmetric has tracked 21,340,745 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 1,014 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one has gotten more attention than average, scoring higher than 60% 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 204,233 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 71% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.