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Attention Score in Context
| Title |
Investigation of a Staphylococcus aureus sequence type 72 food poisoning outbreak associated with food‐handler contamination in Italy
|
|---|---|
| Published in |
Zoonoses & Public Health, May 2023
|
| DOI | 10.1111/zph.13046 |
| Pubmed ID | |
| Authors |
Federica Savini, Angelo Romano, Federica Giacometti, Valentina Indio, Monica Pitti, Lucia Decastelli, Pietro Luigi Devalle, Ilaria Silvia Rossella Gorrasi, Sergio Miaglia, Andrea Serraino |
| Abstract |
On August 2019 a staphylococcal food poisoning outbreak occurred in an elderly home in Piedmont, Italy. The epidemiological investigation performed among the persons that consumed the meal identified chicken salad as the most likely source of the outbreak. Staphylococcus aureus was isolated from a total of seven samples, namely one vomit sample from a guest of the nursing home, two food samples (chicken salad with and without mayonnaise) and nasal swabs collected from a total of four persons working in the kitchen of the nursing home. The maximum likelihood tree obtained using single nucleotide polymorphisms analysis revealed that the isolates from the aforementioned samples clustered together. Multilocus sequence typing revealed that they belonged to Sequence Type 72. Fourier transform infrared spectroscopy (FTIR) was used in parallel to single nucleotide polymorphisms and whole genome sequencing for the determination of the degree of relatedness of the isolates. The results of the FTIR showed the same clustering obtained with single nucleotide polymorphisms and whole genome sequencing and revealed the source of infection. This study underlines the importance of both laboratory evidence and epidemiological data for outbreak investigation and further confirms that FTIR is a suitable support for the short-term epidemiological investigation on source attribution in case of a S. aureus infection. |
X Demographics
The data shown below were collected from the profiles of 3 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 | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 27 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 3 | 11% |
| Student > Bachelor | 3 | 11% |
| Student > Master | 2 | 7% |
| Student > Doctoral Student | 2 | 7% |
| Researcher | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 16 | 59% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 3 | 11% |
| Veterinary Science and Veterinary Medicine | 2 | 7% |
| Biochemistry, Genetics and Molecular Biology | 2 | 7% |
| Agricultural and Biological Sciences | 1 | 4% |
| Medicine and Dentistry | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 18 | 67% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 04 June 2023.
All research outputs
#2,321,421
of 25,394,764 outputs
Outputs from Zoonoses & Public Health
#99
of 1,187 outputs
Outputs of similar age
#44,962
of 400,751 outputs
Outputs of similar age from Zoonoses & Public Health
#2
of 18 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,187 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one has done particularly well, scoring higher than 91% 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 400,751 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.