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.
X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
Quantitative Super-Resolution Imaging of Small RNAs in Bacterial Cells
|
---|---|
Chapter number | 12 |
Book title |
Bacterial Regulatory RNA
|
Published in |
Methods in molecular biology, January 2018
|
DOI | 10.1007/978-1-4939-7634-8_12 |
Pubmed ID | |
Book ISBNs |
978-1-4939-7633-1, 978-1-4939-7634-8
|
Authors |
Seongjin Park, Magda Bujnowska, Eric L. McLean, Jingyi Fei, Park, Seongjin, Bujnowska, Magda, McLean, Eric, Fei, Jingyi |
Abstract |
We present a method for the quantification of small regulatory RNAs (sRNAs) in bacteria, by combining single-molecule fluorescence in situ hybridization (smFISH), super-resolved single-fluorophore microscopy, and clustering analysis. Compared to smFISH imaging with diffraction-limited fluorescence microscopy, our method provides better quantification for short and abundant RNA (such as sRNAs) in a small volume of bacterial cells. Our method can also be directly used for the quantification of messenger RNAs (mRNAs). |
X Demographics
The data shown below were collected from the profiles of 3 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 | 1 | 33% |
Unknown | 2 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 67% |
Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 13 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 5 | 38% |
Student > Ph. D. Student | 3 | 23% |
Student > Postgraduate | 3 | 23% |
Student > Master | 1 | 8% |
Unknown | 1 | 8% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 3 | 23% |
Agricultural and Biological Sciences | 3 | 23% |
Physics and Astronomy | 2 | 15% |
Neuroscience | 1 | 8% |
Chemistry | 1 | 8% |
Other | 0 | 0% |
Unknown | 3 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 13 March 2018.
All research outputs
#15,493,741
of 23,025,074 outputs
Outputs from Methods in molecular biology
#5,390
of 13,170 outputs
Outputs of similar age
#269,806
of 442,363 outputs
Outputs of similar age from Methods in molecular biology
#596
of 1,499 outputs
Altmetric has tracked 23,025,074 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,170 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
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 442,363 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,499 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.