| Title |
Genome-wide detection of predicted non-coding RNAs in Rhizobium etli expressed during free-living and host-associated growth using a high-resolution tiling array
|
|---|---|
| Published in |
BMC Genomics, January 2010
|
| DOI | 10.1186/1471-2164-11-53 |
| Pubmed ID | |
| Authors |
Maarten Vercruysse, Maarten Fauvart, Lore Cloots, Kristof Engelen, Inge M Thijs, Kathleen Marchal, Jan Michiels |
| Abstract |
Non-coding RNAs (ncRNAs) play a crucial role in the intricate regulation of bacterial gene expression, allowing bacteria to quickly adapt to changing environments. In the past few years, a growing number of regulatory RNA elements have been predicted by computational methods, mostly in well-studied gamma-proteobacteria but lately in several alpha-proteobacteria as well. Here, we have compared an extensive compilation of these non-coding RNA predictions to intergenic expression data of a whole-genome high-resolution tiling array in the soil-dwelling alpha-proteobacterium Rhizobium etli. |
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 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Belgium | 2 | 3% |
| Netherlands | 1 | 1% |
| Senegal | 1 | 1% |
| France | 1 | 1% |
| India | 1 | 1% |
| Spain | 1 | 1% |
| Unknown | 69 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 22 | 29% |
| Researcher | 21 | 28% |
| Professor > Associate Professor | 5 | 7% |
| Student > Master | 5 | 7% |
| Professor | 4 | 5% |
| Other | 9 | 12% |
| Unknown | 10 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 48 | 63% |
| Biochemistry, Genetics and Molecular Biology | 7 | 9% |
| Environmental Science | 4 | 5% |
| Medicine and Dentistry | 3 | 4% |
| Immunology and Microbiology | 2 | 3% |
| Other | 3 | 4% |
| Unknown | 9 | 12% |
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 02 February 2013.
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#20,180,477
of 22,694,633 outputs
Outputs from BMC Genomics
#9,242
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Outputs of similar age
#156,726
of 163,798 outputs
Outputs of similar age from BMC Genomics
#106
of 113 outputs
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