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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A comparison of dense transposon insertion libraries in the Salmonella serovars Typhi and Typhimurium
|
|---|---|
| Published in |
Nucleic Acids Research, March 2013
|
| DOI | 10.1093/nar/gkt148 |
| Pubmed ID | |
| Authors |
Lars Barquist, Gemma C. Langridge, Daniel J. Turner, Minh-Duy Phan, A. Keith Turner, Alex Bateman, Julian Parkhill, John Wain, Paul P. Gardner |
| Abstract |
Salmonella Typhi and Typhimurium diverged only ∼50 000 years ago, yet have very different host ranges and pathogenicity. Despite the availability of multiple whole-genome sequences, the genetic differences that have driven these changes in phenotype are only beginning to be understood. In this study, we use transposon-directed insertion-site sequencing to probe differences in gene requirements for competitive growth in rich media between these two closely related serovars. We identify a conserved core of 281 genes that are required for growth in both serovars, 228 of which are essential in Escherichia coli. We are able to identify active prophage elements through the requirement for their repressors. We also find distinct differences in requirements for genes involved in cell surface structure biogenesis and iron utilization. Finally, we demonstrate that transposon-directed insertion-site sequencing is not only applicable to the protein-coding content of the cell but also has sufficient resolution to generate hypotheses regarding the functions of non-coding RNAs (ncRNAs) as well. We are able to assign probable functions to a number of cis-regulatory ncRNA elements, as well as to infer likely differences in trans-acting ncRNA regulatory networks. |
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 % |
|---|---|---|
| New Zealand | 2 | 50% |
| France | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 75% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 168 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 1% |
| Canada | 1 | <1% |
| New Zealand | 1 | <1% |
| Mexico | 1 | <1% |
| Belgium | 1 | <1% |
| United States | 1 | <1% |
| Poland | 1 | <1% |
| Unknown | 160 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 51 | 30% |
| Researcher | 30 | 18% |
| Student > Bachelor | 16 | 10% |
| Student > Master | 15 | 9% |
| Student > Doctoral Student | 9 | 5% |
| Other | 20 | 12% |
| Unknown | 27 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 58 | 35% |
| Biochemistry, Genetics and Molecular Biology | 44 | 26% |
| Immunology and Microbiology | 17 | 10% |
| Medicine and Dentistry | 7 | 4% |
| Chemistry | 3 | 2% |
| Other | 9 | 5% |
| Unknown | 30 | 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 27 November 2016.
All research outputs
#8,535,472
of 25,374,647 outputs
Outputs from Nucleic Acids Research
#13,661
of 27,550 outputs
Outputs of similar age
#71,130
of 207,849 outputs
Outputs of similar age from Nucleic Acids Research
#102
of 218 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 27,550 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one is in the 24th percentile – i.e., 24% 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 207,849 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 218 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.