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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Understanding the sequential activation of Type III and Type VI Secretion Systems in Salmonella typhimurium using Boolean modeling
|
|---|---|
| Published in |
Gut Pathogens, September 2013
|
| DOI | 10.1186/1757-4749-5-28 |
| Pubmed ID | |
| Authors |
Chandrani Das, Anirban Dutta, Hannah Rajasingh, Sharmila S Mande |
| Abstract |
Three pathogenicity islands, viz. SPI-1 (Salmonella pathogenicity island 1), SPI-2 (Salmonella pathogenicity island 2) and T6SS (Type VI Secretion System), present in the genome of Salmonella typhimurium have been implicated in the virulence of the pathogen. While the regulation of SPI-1 and SPI-2 (both encoding components of the Type III Secretion System - T3SS) are well understood, T6SS regulation is comparatively less studied. Interestingly, inter-connections among the regulatory elements of these three virulence determinants have also been suggested to be essential for successful infection. However, till date, an integrated view of gene regulation involving the regulators of these three secretion systems and their cross-talk is not available. |
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 % |
|---|---|---|
| India | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 2% |
| Unknown | 47 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 27% |
| Student > Bachelor | 9 | 19% |
| Student > Master | 7 | 15% |
| Researcher | 5 | 10% |
| Student > Postgraduate | 2 | 4% |
| Other | 4 | 8% |
| Unknown | 8 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 13 | 27% |
| Biochemistry, Genetics and Molecular Biology | 9 | 19% |
| Immunology and Microbiology | 5 | 10% |
| Chemistry | 2 | 4% |
| Veterinary Science and Veterinary Medicine | 1 | 2% |
| Other | 7 | 15% |
| Unknown | 11 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 30 September 2013.
All research outputs
#13,659,305
of 23,572,442 outputs
Outputs from Gut Pathogens
#192
of 539 outputs
Outputs of similar age
#108,490
of 207,541 outputs
Outputs of similar age from Gut Pathogens
#3
of 4 outputs
Altmetric has tracked 23,572,442 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 539 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one has gotten more attention than average, scoring higher than 62% 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 207,541 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.