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Mendeley readers
Attention Score in Context
Title |
Premature terminator analysis sheds light on a hidden world of bacterial transcriptional attenuation
|
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Published in |
Genome Biology, September 2010
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DOI | 10.1186/gb-2010-11-9-r97 |
Pubmed ID | |
Authors |
Magali Naville, Daniel Gautheret |
Abstract |
Bacterial transcription attenuation occurs through a variety of cis-regulatory elements that control gene expression in response to a wide range of signals. The signal-sensing structures in attenuators are so diverse and rapidly evolving that only a small fraction have been properly annotated and characterized to date. Here we apply a broad-spectrum detection tool in order to achieve a more complete view of the transcriptional attenuation complement of key bacterial species. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
New Zealand | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 2% |
Denmark | 1 | 2% |
Poland | 1 | 2% |
China | 1 | 2% |
Unknown | 57 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 16 | 26% |
Researcher | 12 | 20% |
Student > Master | 9 | 15% |
Professor > Associate Professor | 5 | 8% |
Student > Bachelor | 4 | 7% |
Other | 10 | 16% |
Unknown | 5 | 8% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 33 | 54% |
Biochemistry, Genetics and Molecular Biology | 13 | 21% |
Immunology and Microbiology | 3 | 5% |
Engineering | 2 | 3% |
Nursing and Health Professions | 1 | 2% |
Other | 3 | 5% |
Unknown | 6 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 February 2017.
All research outputs
#4,836,328
of 25,377,790 outputs
Outputs from Genome Biology
#2,799
of 4,467 outputs
Outputs of similar age
#20,577
of 108,072 outputs
Outputs of similar age from Genome Biology
#18
of 39 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% 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 is in the 36th percentile – i.e., 36% 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 108,072 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.