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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Identification of a major Listeria monocytogenes outbreak clone linked to soft cheese in Northern Italy – 2009-2011
|
|---|---|
| Published in |
BMC Infectious Diseases, May 2017
|
| DOI | 10.1186/s12879-017-2441-6 |
| Pubmed ID | |
| Authors |
Ettore Amato, Virginia Filipello, Maria Gori, Sara Lomonaco, Marina Nadia Losio, Antonio Parisi, Pol Huedo, Stephen John Knabel, Mirella Pontello |
| Abstract |
Molecular subtyping and enhanced surveillance in Lombardy region identified a cluster of possibly related listeriosis cases from 2006 to 2010. This cluster grouped 31 isolates that belonged to serotype 1/2a and Sequence Type 38 (ST38) as defined by Multilocus Sequence Typing (MLST). Our study expanded the previous investigation to include cases from 2011 to 2014 and used Multi-Virulence-Locus Sequence Typing (MVLST) on all ST38 isolates to better understand their epidemiology and possibly identify a common source outbreak. Out of 306 L. monocytogenes clinical isolates collected, 43 (14.1%) belonged to ST38 with cases occurring in nine out of twelve Lombardy provinces. The ST38 isolates were split by MVLST into two Virulence Types (VTs): VT80 (n = 12) and VT104 (n = 31). VT104 cases were concentrated between 2009 and 2011 in two provinces, Bergamo and Milan. An epidemiologic investigation was performed and in one case, a matching VT104 isolate was retrieved from a soft cheese sample from a patient's refrigerator. Our findings revealed a major listeriosis outbreak in Northern Italy linked to soft cheese in 2009-2011, which went undetected by local health authorities. Our study shows that integrating subtyping methods with conventional epidemiology can help identify the source of L. monocytogenes outbreak clones. |
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 % |
|---|---|---|
| Venezuela, Bolivarian Republic of | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 56 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 14% |
| Researcher | 7 | 13% |
| Student > Bachelor | 5 | 9% |
| Other | 5 | 9% |
| Librarian | 3 | 5% |
| Other | 10 | 18% |
| Unknown | 18 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 10 | 18% |
| Veterinary Science and Veterinary Medicine | 8 | 14% |
| Biochemistry, Genetics and Molecular Biology | 6 | 11% |
| Immunology and Microbiology | 3 | 5% |
| Medicine and Dentistry | 3 | 5% |
| Other | 5 | 9% |
| Unknown | 21 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 14 December 2022.
All research outputs
#4,790,158
of 23,842,189 outputs
Outputs from BMC Infectious Diseases
#1,549
of 7,923 outputs
Outputs of similar age
#81,155
of 311,948 outputs
Outputs of similar age from BMC Infectious Diseases
#40
of 186 outputs
Altmetric has tracked 23,842,189 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,923 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has done well, scoring higher than 80% 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 311,948 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 186 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.