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The Kendrick modelling platform: language abstractions and tools for epidemiology

Overview of attention for article published in BMC Bioinformatics, June 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

twitter
18 tweeters

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
8 Mendeley
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Title
The Kendrick modelling platform: language abstractions and tools for epidemiology
Published in
BMC Bioinformatics, June 2019
DOI 10.1186/s12859-019-2843-0
Pubmed ID
Authors

Mai Anh BUI T., Nick Papoulias, Serge Stinckwich, Mikal Ziane, Benjamin Roche

Twitter Demographics

The data shown below were collected from the profiles of 18 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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 2 25%
Student > Master 2 25%
Student > Ph. D. Student 1 13%
Researcher 1 13%
Professor > Associate Professor 1 13%
Other 0 0%
Unknown 1 13%
Readers by discipline Count As %
Computer Science 3 38%
Psychology 2 25%
Agricultural and Biological Sciences 1 13%
Biochemistry, Genetics and Molecular Biology 1 13%
Unknown 1 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 15 April 2020.
All research outputs
#1,501,620
of 15,440,671 outputs
Outputs from BMC Bioinformatics
#526
of 5,639 outputs
Outputs of similar age
#40,978
of 267,350 outputs
Outputs of similar age from BMC Bioinformatics
#3
of 46 outputs
Altmetric has tracked 15,440,671 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 5,639 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one has done particularly well, scoring higher than 90% 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 267,350 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 84% of its contemporaries.
We're also able to compare this research output to 46 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 93% of its contemporaries.