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Temporal aggregation impacts on epidemiological simulations employing microcontact data

Overview of attention for article published in BMC Medical Informatics and Decision Making, November 2012
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Mentioned by

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2 tweeters

Citations

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7 Dimensions

Readers on

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37 Mendeley
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1 CiteULike
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Title
Temporal aggregation impacts on epidemiological simulations employing microcontact data
Published in
BMC Medical Informatics and Decision Making, November 2012
DOI 10.1186/1472-6947-12-132
Pubmed ID
Authors

Mohammad Hashemian, Weicheng Qian, Kevin G Stanley, Nathaniel D Osgood

Abstract

Microcontact datasets gathered automatically by electronic devices have the potential augment the study of the spread of contagious disease by providing detailed representations of the study population's contact dynamics. However, the impact of data collection experimental design on the subsequent simulation studies has not been adequately addressed. In particular, the impact of study duration and contact dynamics data aggregation on the ultimate outcome of epidemiological models has not been studied in detail, leaving the potential for erroneous conclusions to be made based on simulation outcomes.

Twitter Demographics

The data shown below were collected from the profiles of 2 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 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Australia 1 3%
Unknown 35 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 30%
Student > Ph. D. Student 5 14%
Student > Master 5 14%
Student > Bachelor 3 8%
Professor 3 8%
Other 6 16%
Unknown 4 11%
Readers by discipline Count As %
Medicine and Dentistry 8 22%
Computer Science 6 16%
Mathematics 3 8%
Agricultural and Biological Sciences 2 5%
Social Sciences 2 5%
Other 10 27%
Unknown 6 16%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 23 November 2012.
All research outputs
#7,784,845
of 12,409,138 outputs
Outputs from BMC Medical Informatics and Decision Making
#781
of 1,122 outputs
Outputs of similar age
#75,017
of 137,223 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#118
of 154 outputs
Altmetric has tracked 12,409,138 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,122 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 20th percentile – i.e., 20% 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 137,223 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 154 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.