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X Demographics
Mendeley readers
Attention Score in Context
| Title |
sRNAdb: A small non-coding RNA database for gram-positive bacteria
|
|---|---|
| Published in |
BMC Genomics, August 2012
|
| DOI | 10.1186/1471-2164-13-384 |
| Pubmed ID | |
| Authors |
Jordan Pischimarov, Carsten Kuenne, André Billion, Jüergen Hemberger, Franz Cemič, Trinad Chakraborty, Torsten Hain |
| Abstract |
The class of small non-coding RNA molecules (sRNA) regulates gene expression by different mechanisms and enables bacteria to mount a physiological response due to adaptation to the environment or infection. Over the last decades the number of sRNAs has been increasing rapidly. Several databases like Rfam or fRNAdb were extended to include sRNAs as a class of its own. Furthermore new specialized databases like sRNAMap (gram-negative bacteria only) and sRNATarBase (target prediction) were established. To the best of the authors' knowledge no database focusing on sRNAs from gram-positive bacteria is publicly available so far. |
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 % |
|---|---|---|
| Russia | 1 | 17% |
| United Kingdom | 1 | 17% |
| France | 1 | 17% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Scientists | 2 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 1% |
| United States | 1 | 1% |
| Sweden | 1 | 1% |
| France | 1 | 1% |
| Unknown | 66 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 21 | 30% |
| Researcher | 13 | 19% |
| Student > Master | 12 | 17% |
| Professor | 6 | 9% |
| Other | 3 | 4% |
| Other | 7 | 10% |
| Unknown | 8 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 38 | 54% |
| Computer Science | 9 | 13% |
| Biochemistry, Genetics and Molecular Biology | 8 | 11% |
| Immunology and Microbiology | 2 | 3% |
| Engineering | 2 | 3% |
| Other | 0 | 0% |
| Unknown | 11 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 29 November 2017.
All research outputs
#5,418,105
of 22,673,450 outputs
Outputs from BMC Genomics
#2,158
of 10,614 outputs
Outputs of similar age
#38,354
of 167,363 outputs
Outputs of similar age from BMC Genomics
#25
of 112 outputs
Altmetric has tracked 22,673,450 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,614 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 79% 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 167,363 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 77% of its contemporaries.
We're also able to compare this research output to 112 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.