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A spatially heterogeneous network-based metapopulation software model applied to the simulation of a pulmonary tuberculosis infection

Overview of attention for article published in Applied Network Science, August 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#31 of 385)
  • High Attention Score compared to outputs of the same age (89th percentile)

Mentioned by

blogs
2 blogs
twitter
12 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
17 Mendeley
Title
A spatially heterogeneous network-based metapopulation software model applied to the simulation of a pulmonary tuberculosis infection
Published in
Applied Network Science, August 2018
DOI 10.1007/s41109-018-0091-2
Authors

Michael J. Pitcher, Ruth Bowness, Simon Dobson, Stephen H. Gillespie

Twitter Demographics

The data shown below were collected from the profiles of 12 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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 24%
Student > Postgraduate 3 18%
Student > Master 2 12%
Student > Ph. D. Student 1 6%
Student > Bachelor 1 6%
Other 2 12%
Unknown 4 24%
Readers by discipline Count As %
Mathematics 4 24%
Immunology and Microbiology 2 12%
Agricultural and Biological Sciences 1 6%
Nursing and Health Professions 1 6%
Biochemistry, Genetics and Molecular Biology 1 6%
Other 4 24%
Unknown 4 24%

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 July 2019.
All research outputs
#1,225,131
of 19,002,645 outputs
Outputs from Applied Network Science
#31
of 385 outputs
Outputs of similar age
#30,253
of 289,305 outputs
Outputs of similar age from Applied Network Science
#1
of 1 outputs
Altmetric has tracked 19,002,645 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 385 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.8. This one has done particularly well, scoring higher than 92% 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 289,305 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 89% 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