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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Identification of novel growth phase- and media-dependent small non-coding RNAs in Streptococcus pyogenes M49 using intergenic tiling arrays
|
|---|---|
| Published in |
BMC Genomics, October 2012
|
| DOI | 10.1186/1471-2164-13-550 |
| Pubmed ID | |
| Authors |
Nadja Patenge, André Billion, Peter Raasch, Jana Normann, Aleksandra Wisniewska-Kucper, Julia Retey, Valesca Boisguérin, Thomas Hartsch, Torsten Hain, Bernd Kreikemeyer |
| Abstract |
Small non-coding RNAs (sRNAs) have attracted attention as a new class of gene regulators in both eukaryotes and bacteria. Genome-wide screening methods have been successfully applied in Gram-negative bacteria to identify sRNA regulators. Many sRNAs are well characterized, including their target mRNAs and mode of action. In comparison, little is known about sRNAs in Gram-positive pathogens. In this study, we identified novel sRNAs in the exclusively human pathogen Streptococcus pyogenes M49 (Group A Streptococcus, GAS M49), employing a whole genome intergenic tiling array approach. GAS is an important pathogen that causes diseases ranging from mild superficial infections of the skin and mucous membranes of the naso-pharynx, to severe toxic and invasive diseases. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 26 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 27% |
| Student > Ph. D. Student | 7 | 27% |
| Student > Master | 4 | 15% |
| Student > Doctoral Student | 2 | 8% |
| Student > Bachelor | 2 | 8% |
| Other | 3 | 12% |
| Unknown | 1 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 13 | 50% |
| Biochemistry, Genetics and Molecular Biology | 6 | 23% |
| Neuroscience | 2 | 8% |
| Medicine and Dentistry | 2 | 8% |
| Immunology and Microbiology | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 2 | 8% |
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 11 February 2013.
All research outputs
#7,174,562
of 22,681,577 outputs
Outputs from BMC Genomics
#3,410
of 10,613 outputs
Outputs of similar age
#54,501
of 173,661 outputs
Outputs of similar age from BMC Genomics
#47
of 138 outputs
Altmetric has tracked 22,681,577 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 10,613 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 66% 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 173,661 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 67% of its contemporaries.
We're also able to compare this research output to 138 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 65% of its contemporaries.