↓ Skip to main content

The potential of single-cell profiling in plants

Overview of attention for article published in Genome Biology, April 2016
Altmetric Badge

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 (92nd percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

blogs
1 blog
twitter
39 X users
facebook
1 Facebook page

Citations

dimensions_citation
82 Dimensions

Readers on

mendeley
219 Mendeley
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
The potential of single-cell profiling in plants
Published in
Genome Biology, April 2016
DOI 10.1186/s13059-016-0931-2
Pubmed ID
Authors

Idan Efroni, Kenneth D. Birnbaum

Abstract

Single-cell transcriptomics has been employed in a growing number of animal studies, but the technique has yet to be widely used in plants. Nonetheless, early studies indicate that single-cell RNA-seq protocols developed for animal cells produce informative datasets in plants. We argue that single-cell transcriptomics has the potential to provide a new perspective on plant problems, such as the nature of the stem cells or initials, the plasticity of plant cells, and the extent of localized cellular responses to environmental inputs. Single-cell experimental outputs require different analytical approaches compared with pooled cell profiles and new tools tailored to single-cell assays are being developed. Here, we highlight promising new single-cell profiling approaches, their limitations as applied to plants, and their potential to address fundamental questions in plant biology.

X Demographics

X Demographics

The data shown below were collected from the profiles of 39 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 219 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Japan 1 <1%
United States 1 <1%
Brazil 1 <1%
Unknown 215 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 55 25%
Student > Ph. D. Student 52 24%
Student > Master 16 7%
Student > Bachelor 15 7%
Student > Doctoral Student 12 5%
Other 34 16%
Unknown 35 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 104 47%
Biochemistry, Genetics and Molecular Biology 60 27%
Chemistry 4 2%
Computer Science 4 2%
Physics and Astronomy 2 <1%
Other 8 4%
Unknown 37 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 30. 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 August 2017.
All research outputs
#1,321,287
of 25,373,627 outputs
Outputs from Genome Biology
#1,031
of 4,467 outputs
Outputs of similar age
#22,463
of 315,549 outputs
Outputs of similar age from Genome Biology
#19
of 77 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has done well, scoring higher than 76% 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 315,549 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 77 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.