↓ Skip to main content

Four European Salmonella Typhimurium datasets collected to develop WGS-based source attribution methods

Overview of attention for article published in Scientific Data, March 2020
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (61st percentile)

Mentioned by

twitter
6 tweeters

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
18 Mendeley
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
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

Twitter Demographics

The data shown below were collected from the profiles of 6 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 22%
Researcher 4 22%
Other 2 11%
Student > Ph. D. Student 1 6%
Student > Master 1 6%
Other 3 17%
Unknown 3 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 33%
Veterinary Science and Veterinary Medicine 2 11%
Biochemistry, Genetics and Molecular Biology 1 6%
Business, Management and Accounting 1 6%
Environmental Science 1 6%
Other 1 6%
Unknown 6 33%

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
#5,289,604
of 17,145,811 outputs
Outputs from Scientific Data
#1,016
of 1,552 outputs
Outputs of similar age
#100,565
of 266,093 outputs
Outputs of similar age from Scientific Data
#1
of 1 outputs
Altmetric has tracked 17,145,811 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 1,552 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.2. 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 266,093 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 61% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them