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Mendeley readers
Attention Score in Context
| Title |
A method for detecting single mRNA molecules in Arabidopsis thaliana
|
|---|---|
| Published in |
Plant Methods, August 2016
|
| DOI | 10.1186/s13007-016-0114-x |
| Pubmed ID | |
| Authors |
Susan Duncan, Tjelvar S. G. Olsson, Matthew Hartley, Caroline Dean, Stefanie Rosa |
| Abstract |
Despite advances in other model organisms, there are currently no techniques to explore cell-to-cell variation and sub-cellular localization of RNA molecules at the single-cell level in plants. Here we describe a method for imaging individual mRNA molecules in Arabidopsis thaliana root cells using multiple singly labeled oligonucleotide probes. We demonstrate detection of both mRNA and nascent transcripts of the housekeeping gene Protein Phosphatase 2A. Our image analysis pipeline also enables quantification of mRNAs that reveals the frequency distribution of transcripts per cell underlying the population mean. This method allows single molecule RNA in situ to be exploited as a powerful tool for studying gene regulation in plants. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 2 | 50% |
| United Kingdom | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 143 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 1% |
| Germany | 1 | <1% |
| Unknown | 140 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 26 | 18% |
| Researcher | 26 | 18% |
| Student > Master | 16 | 11% |
| Student > Bachelor | 16 | 11% |
| Other | 9 | 6% |
| Other | 19 | 13% |
| Unknown | 31 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 63 | 44% |
| Biochemistry, Genetics and Molecular Biology | 31 | 22% |
| Engineering | 3 | 2% |
| Computer Science | 2 | 1% |
| Environmental Science | 1 | <1% |
| Other | 6 | 4% |
| Unknown | 37 | 26% |
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 14 March 2018.
All research outputs
#6,758,826
of 22,882,389 outputs
Outputs from Plant Methods
#419
of 1,083 outputs
Outputs of similar age
#115,129
of 366,897 outputs
Outputs of similar age from Plant Methods
#3
of 6 outputs
Altmetric has tracked 22,882,389 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 1,083 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 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 366,897 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 68% of its contemporaries.
We're also able to compare this research output to 6 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.