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Performance of eHealth Data Sources in Local Influenza Surveillance: A 5-Year Open Cohort Study

Overview of attention for article published in Journal of Medical Internet Research, February 2016
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (74th percentile)

Mentioned by

twitter
8 tweeters

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
36 Mendeley
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Title
Performance of eHealth Data Sources in Local Influenza Surveillance: A 5-Year Open Cohort Study
Published in
Journal of Medical Internet Research, February 2016
DOI 10.2196/jmir.3099
Pubmed ID
Authors

Toomas Timpka

Abstract

There is abundant global interest in using syndromic data from population-wide health information systems--referred to as eHealth resources--to improve infectious disease surveillance. Recently, the necessity for these systems to achieve two potentially conflicting requirements has been emphasized. First, they must be evidence-based; second, they must be adjusted for the diversity of populations, lifestyles, and environments.

Twitter Demographics

The data shown below were collected from the profiles of 8 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 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 1 3%
Canada 1 3%
Saudi Arabia 1 3%
Unknown 33 92%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 22%
Researcher 8 22%
Other 5 14%
Student > Ph. D. Student 4 11%
Student > Bachelor 3 8%
Other 8 22%
Readers by discipline Count As %
Medicine and Dentistry 11 31%
Computer Science 6 17%
Social Sciences 5 14%
Unspecified 3 8%
Nursing and Health Professions 3 8%
Other 8 22%

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 10 May 2014.
All research outputs
#2,879,891
of 11,344,499 outputs
Outputs from Journal of Medical Internet Research
#1,893
of 2,383 outputs
Outputs of similar age
#46,612
of 187,636 outputs
Outputs of similar age from Journal of Medical Internet Research
#27
of 29 outputs
Altmetric has tracked 11,344,499 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 2,383 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 24.4. This one is in the 19th percentile – i.e., 19% 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 187,636 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 74% of its contemporaries.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.