| Title |
Four European Salmonella Typhimurium datasets collected to develop WGS-based source attribution methods
|
|---|---|
| Published in |
Scientific Data, March 2020
|
| DOI | 10.1038/s41597-020-0417-7 |
| Pubmed ID | |
| Authors |
Nanna Munck, Pimlapas Leekitcharoenphon, Eva Litrup, Rolf Kaas, Anika Meinen, Laurent Guillier, Yue Tang, Burkhard Malorny, Federica Palma, Maria Borowiak, Michèle Gourmelon, Sandra Simon, Sangeeta Banerji, Liljana Petrovska, Timothy J. Dallman, Tine Hald |
X Demographics
The data shown below were collected from the profiles of 6 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 Kingdom | 3 | 50% |
| United States | 1 | 17% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 67% |
| Members of the public | 1 | 17% |
| Science communicators (journalists, bloggers, editors) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 30 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 27% |
| Student > Bachelor | 4 | 13% |
| Other | 4 | 13% |
| Professor > Associate Professor | 2 | 7% |
| Student > Master | 1 | 3% |
| Other | 3 | 10% |
| Unknown | 8 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 7 | 23% |
| Veterinary Science and Veterinary Medicine | 3 | 10% |
| Biochemistry, Genetics and Molecular Biology | 3 | 10% |
| Immunology and Microbiology | 3 | 10% |
| Business, Management and Accounting | 1 | 3% |
| Other | 2 | 7% |
| Unknown | 11 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 March 2020.
All research outputs
#7,291,588
of 23,197,711 outputs
Outputs from Scientific Data
#1,672
of 2,541 outputs
Outputs of similar age
#135,088
of 360,791 outputs
Outputs of similar age from Scientific Data
#63
of 92 outputs
Altmetric has tracked 23,197,711 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 2,541 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 24.5. This one is in the 33rd percentile – i.e., 33% 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 360,791 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 62% of its contemporaries.
We're also able to compare this research output to 92 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.