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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The architecture and ppGpp-dependent expression of the primary transcriptome of Salmonella Typhimurium during invasion gene expression
|
|---|---|
| Published in |
BMC Genomics, January 2012
|
| DOI | 10.1186/1471-2164-13-25 |
| Pubmed ID | |
| Authors |
Vinoy K Ramachandran, Neil Shearer, Jobin J Jacob, Cynthia M Sharma, Arthur Thompson |
| Abstract |
Invasion of intestinal epithelial cells by Salmonella enterica serovar Typhimurium (S. Typhimurium) requires expression of the extracellular virulence gene expression programme (ST(EX)), activation of which is dependent on the signalling molecule guanosine tetraphosphate (ppGpp). Recently, next-generation transcriptomics (RNA-seq) has revealed the unexpected complexity of bacterial transcriptomes and in this report we use differential RNA sequencing (dRNA-seq) to define the high-resolution transcriptomic architecture of wild-type S. Typhimurium and a ppGpp null strain under growth conditions which model ST(EX). In doing so we show that ppGpp plays a much wider role in regulating the S. Typhimurium ST(EX) primary transcriptome than previously recognised. |
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 % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 117 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | <1% |
| Estonia | 1 | <1% |
| Unknown | 115 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 21 | 18% |
| Student > Ph. D. Student | 18 | 15% |
| Student > Master | 13 | 11% |
| Professor | 5 | 4% |
| Student > Doctoral Student | 4 | 3% |
| Other | 10 | 9% |
| Unknown | 46 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 46 | 39% |
| Biochemistry, Genetics and Molecular Biology | 13 | 11% |
| Immunology and Microbiology | 3 | 3% |
| Environmental Science | 2 | 2% |
| Philosophy | 1 | <1% |
| Other | 5 | 4% |
| Unknown | 47 | 40% |
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 27 January 2012.
All research outputs
#18,304,230
of 22,662,201 outputs
Outputs from BMC Genomics
#8,141
of 10,612 outputs
Outputs of similar age
#196,146
of 245,784 outputs
Outputs of similar age from BMC Genomics
#209
of 279 outputs
Altmetric has tracked 22,662,201 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,612 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 12th percentile – i.e., 12% 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 245,784 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 279 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.