| Title |
Constraint-based analysis of metabolic capacity of Salmonella typhimurium during host-pathogen interaction
|
|---|---|
| Published in |
BMC Systems Biology, April 2009
|
| DOI | 10.1186/1752-0509-3-38 |
| Pubmed ID | |
| Authors |
Anu Raghunathan, Jennifer Reed, Sookil Shin, Bernhard Palsson, Simon Daefler |
| Abstract |
Infections with Salmonella cause significant morbidity and mortality worldwide. Replication of Salmonella typhimurium inside its host cell is a model system for studying the pathogenesis of intracellular bacterial infections. Genome-scale modeling of bacterial metabolic networks provides a powerful tool to identify and analyze pathways required for successful intracellular replication during host-pathogen interaction. |
Mendeley readers
The data shown below were compiled from readership statistics for 232 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 13 | 6% |
| United Kingdom | 3 | 1% |
| Germany | 2 | <1% |
| Switzerland | 1 | <1% |
| Norway | 1 | <1% |
| Portugal | 1 | <1% |
| Hungary | 1 | <1% |
| South Africa | 1 | <1% |
| Brazil | 1 | <1% |
| Other | 5 | 2% |
| Unknown | 203 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 59 | 25% |
| Researcher | 41 | 18% |
| Student > Master | 33 | 14% |
| Student > Bachelor | 16 | 7% |
| Student > Doctoral Student | 11 | 5% |
| Other | 41 | 18% |
| Unknown | 31 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 99 | 43% |
| Biochemistry, Genetics and Molecular Biology | 35 | 15% |
| Engineering | 15 | 6% |
| Immunology and Microbiology | 12 | 5% |
| Computer Science | 10 | 4% |
| Other | 20 | 9% |
| Unknown | 41 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 17 April 2018.
All research outputs
#7,453,350
of 22,786,087 outputs
Outputs from BMC Systems Biology
#314
of 1,142 outputs
Outputs of similar age
#32,975
of 93,585 outputs
Outputs of similar age from BMC Systems Biology
#3
of 9 outputs
Altmetric has tracked 22,786,087 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,142 research outputs from this source. They receive a mean Attention Score of 3.6. This one has gotten more attention than average, scoring higher than 64% 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 93,585 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.