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Mendeley readers
Attention Score in Context
Chapter title |
Identification of regulatory RNA in bacterial genomes by genome-scale mapping of transcription start sites.
|
---|---|
Chapter number | 1 |
Book title |
Therapeutic Applications of Ribozymes and Riboswitches
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Published in |
Methods in molecular biology, January 2014
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DOI | 10.1007/978-1-62703-730-3_1 |
Pubmed ID | |
Book ISBNs |
978-1-62703-729-7, 978-1-62703-730-3
|
Authors |
Navjot Singh, Joseph T Wade, Joseph T. Wade, Singh, Navjot, Wade, Joseph T. |
Abstract |
The ability to map transcription start sites is critical for studies of gene regulation and for identification of novel RNAs. Conventional RNA-seq is often insufficient for identification of transcription start sites due to low coverage and/or RNA processing events. We have developed a highly sensitive, genome-scale method for detection of transcription start sites in bacteria. This method uses deep sequencing of cDNA libraries to identify transcription start sites with strand specificity at nucleotide resolution. Here, we describe the application of this method for transcription start site identification in Escherichia coli. |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
India | 2 | 33% |
United States | 2 | 33% |
Germany | 1 | 17% |
France | 1 | 17% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 5 | 83% |
Members of the public | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 18% |
Unknown | 9 | 82% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 4 | 36% |
Other | 2 | 18% |
Researcher | 2 | 18% |
Professor | 1 | 9% |
Student > Master | 1 | 9% |
Other | 1 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 5 | 45% |
Biochemistry, Genetics and Molecular Biology | 4 | 36% |
Unspecified | 1 | 9% |
Social Sciences | 1 | 9% |
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 05 August 2014.
All research outputs
#7,480,247
of 24,594,795 outputs
Outputs from Methods in molecular biology
#2,238
of 13,828 outputs
Outputs of similar age
#84,793
of 316,481 outputs
Outputs of similar age from Methods in molecular biology
#95
of 561 outputs
Altmetric has tracked 24,594,795 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 13,828 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done well, scoring higher than 83% 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 316,481 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 72% of its contemporaries.
We're also able to compare this research output to 561 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.