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CASE: a framework for computer supported outbreak detection

Overview of attention for article published in BMC Medical Informatics and Decision Making, March 2010
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age and source (58th percentile)

Mentioned by

policy
1 policy source

Citations

dimensions_citation
33 Dimensions

Readers on

mendeley
49 Mendeley
connotea
1 Connotea
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Title
CASE: a framework for computer supported outbreak detection
Published in
BMC Medical Informatics and Decision Making, March 2010
DOI 10.1186/1472-6947-10-14
Pubmed ID
Authors

Baki Cakici, Kenneth Hebing, Maria Grünewald, Paul Saretok, Anette Hulth

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 4%
Indonesia 1 2%
Iran, Islamic Republic of 1 2%
Canada 1 2%
Unknown 44 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 29%
Researcher 10 20%
Student > Master 6 12%
Student > Doctoral Student 4 8%
Other 3 6%
Other 7 14%
Unknown 5 10%
Readers by discipline Count As %
Computer Science 17 35%
Medicine and Dentistry 8 16%
Agricultural and Biological Sciences 4 8%
Mathematics 4 8%
Veterinary Science and Veterinary Medicine 3 6%
Other 5 10%
Unknown 8 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 26 March 2018.
All research outputs
#7,473,822
of 22,849,304 outputs
Outputs from BMC Medical Informatics and Decision Making
#765
of 1,991 outputs
Outputs of similar age
#34,517
of 93,974 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#4
of 12 outputs
Altmetric has tracked 22,849,304 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,991 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 58% 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 93,974 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.