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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Same species, different diseases: how and why typhoidal and non-typhoidal Salmonella enterica serovars differ
|
|---|---|
| Published in |
Frontiers in Microbiology, August 2014
|
| DOI | 10.3389/fmicb.2014.00391 |
| Pubmed ID | |
| Authors |
Ohad Gal-Mor, Erin C. Boyle, Guntram A. Grassl |
| Abstract |
Human infections by the bacterial pathogen Salmonella enterica represent major disease burdens worldwide. This highly ubiquitous species consists of more than 2600 different serovars that can be divided into typhoidal and non-typhoidal Salmonella (NTS) serovars. Despite their genetic similarity, these two groups elicit very different diseases and distinct immune responses in humans. Comparative analyses of the genomes of multiple Salmonella serovars have begun to explain the basis of the variation in disease manifestations. Recent advances in modeling both enteric fever and intestinal gastroenteritis in mice will facilitate investigation into both the bacterial- and host-mediated mechanisms involved in salmonelloses. Understanding the genetic and molecular mechanisms responsible for differences in disease outcome will augment our understanding of Salmonella pathogenesis, host immunity, and the molecular basis of host specificity. This review outlines the differences in epidemiology, clinical manifestations, and the human immune response to typhoidal and NTS infections and summarizes the current thinking on why these differences might exist. |
X Demographics
The data shown below were collected from the profiles of 7 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 | 3 | 43% |
| United Kingdom | 1 | 14% |
| Unknown | 3 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 57% |
| Members of the public | 3 | 43% |
Mendeley readers
The data shown below were compiled from readership statistics for 962 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Colombia | 1 | <1% |
| Malaysia | 1 | <1% |
| Netherlands | 1 | <1% |
| New Zealand | 1 | <1% |
| Mexico | 1 | <1% |
| Argentina | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 955 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 169 | 18% |
| Student > Bachelor | 142 | 15% |
| Student > Ph. D. Student | 130 | 14% |
| Researcher | 67 | 7% |
| Student > Doctoral Student | 43 | 4% |
| Other | 105 | 11% |
| Unknown | 306 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 161 | 17% |
| Agricultural and Biological Sciences | 156 | 16% |
| Immunology and Microbiology | 104 | 11% |
| Medicine and Dentistry | 66 | 7% |
| Veterinary Science and Veterinary Medicine | 53 | 6% |
| Other | 88 | 9% |
| Unknown | 334 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 18. 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 10 September 2023.
All research outputs
#1,906,580
of 24,415,997 outputs
Outputs from Frontiers in Microbiology
#1,303
of 27,647 outputs
Outputs of similar age
#19,246
of 234,589 outputs
Outputs of similar age from Frontiers in Microbiology
#11
of 174 outputs
Altmetric has tracked 24,415,997 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 27,647 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has done particularly well, scoring higher than 95% 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 234,589 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 174 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.