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Decision makers’ experience of participatory dynamic simulation modelling: methods for public health policy

Overview of attention for article published in BMC Medical Informatics and Decision Making, December 2018
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  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 X users

Citations

dimensions_citation
45 Dimensions

Readers on

mendeley
140 Mendeley
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Title
Decision makers’ experience of participatory dynamic simulation modelling: methods for public health policy
Published in
BMC Medical Informatics and Decision Making, December 2018
DOI 10.1186/s12911-018-0707-6
Pubmed ID
Authors

Louise Freebairn, Jo-An Atkinson, Paul M. Kelly, Geoff McDonnell, Lucie Rychetnik

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 140 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 140 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 14%
Student > Master 14 10%
Researcher 13 9%
Student > Bachelor 9 6%
Student > Doctoral Student 7 5%
Other 32 23%
Unknown 45 32%
Readers by discipline Count As %
Medicine and Dentistry 21 15%
Social Sciences 10 7%
Nursing and Health Professions 9 6%
Business, Management and Accounting 8 6%
Computer Science 6 4%
Other 29 21%
Unknown 57 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 22 October 2019.
All research outputs
#14,272,319
of 23,316,003 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,089
of 2,024 outputs
Outputs of similar age
#229,267
of 438,312 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#27
of 51 outputs
Altmetric has tracked 23,316,003 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,024 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 44th percentile – i.e., 44% 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 438,312 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 51 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.