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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Comprehensive discovery and characterization of small RNAs in Corynebacterium glutamicumATCC 13032
|
|---|---|
| Published in |
BMC Genomics, October 2013
|
| DOI | 10.1186/1471-2164-14-714 |
| Pubmed ID | |
| Authors |
Almut Mentz, Armin Neshat, Katharina Pfeifer-Sancar, Alfred Pühler, Christian Rückert, Jörn Kalinowski |
| Abstract |
Recent discoveries on bacterial transcriptomes gave evidence that small RNAs (sRNAs) have important regulatory roles in prokaryotic cells. Modern high-throughput sequencing approaches (RNA-Seq) enable the most detailed view on transcriptomes offering an unmatched comprehensiveness and single-base resolution. Whole transcriptome data obtained by RNA-Seq can be used to detect and characterize all transcript species, including small RNAs. Here, we describe an RNA-Seq approach for comprehensive detection and characterization of small RNAs from Corynebacterium glutamicum, an actinobacterium of high industrial relevance and model organism for medically important Corynebacterianeae, such as C. diphtheriae and Mycobacterium tuberculosis. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 25% |
| India | 1 | 25% |
| France | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 75% |
| Members of the public | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| China | 1 | <1% |
| Germany | 1 | <1% |
| Unknown | 100 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 30 | 29% |
| Researcher | 23 | 23% |
| Student > Master | 14 | 14% |
| Student > Bachelor | 13 | 13% |
| Professor | 3 | 3% |
| Other | 6 | 6% |
| Unknown | 13 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 53 | 52% |
| Biochemistry, Genetics and Molecular Biology | 18 | 18% |
| Engineering | 6 | 6% |
| Immunology and Microbiology | 4 | 4% |
| Computer Science | 3 | 3% |
| Other | 4 | 4% |
| Unknown | 14 | 14% |
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 03 August 2020.
All research outputs
#5,630,689
of 22,727,570 outputs
Outputs from BMC Genomics
#2,315
of 10,628 outputs
Outputs of similar age
#50,601
of 211,634 outputs
Outputs of similar age from BMC Genomics
#20
of 147 outputs
Altmetric has tracked 22,727,570 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,628 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 77% 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 211,634 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 75% of its contemporaries.
We're also able to compare this research output to 147 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.