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Time to CARE: a collaborative engine for practical disease prediction

Overview of attention for article published in Data Mining and Knowledge Discovery, November 2009
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Mentioned by

patent
5 patents

Citations

dimensions_citation
109 Dimensions

Readers on

mendeley
146 Mendeley
citeulike
2 CiteULike
Title
Time to CARE: a collaborative engine for practical disease prediction
Published in
Data Mining and Knowledge Discovery, November 2009
DOI 10.1007/s10618-009-0156-z
Authors

Darcy A. Davis, Nitesh V. Chawla, Nicholas A. Christakis, Albert-László Barabási

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 146 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 3%
Australia 1 <1%
Brazil 1 <1%
Germany 1 <1%
China 1 <1%
United Kingdom 1 <1%
Japan 1 <1%
Philippines 1 <1%
Unknown 134 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 21%
Researcher 25 17%
Student > Master 16 11%
Professor 10 7%
Student > Bachelor 8 5%
Other 32 22%
Unknown 24 16%
Readers by discipline Count As %
Computer Science 53 36%
Engineering 15 10%
Medicine and Dentistry 14 10%
Agricultural and Biological Sciences 9 6%
Biochemistry, Genetics and Molecular Biology 8 5%
Other 23 16%
Unknown 24 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 31 October 2023.
All research outputs
#7,917,073
of 23,854,458 outputs
Outputs from Data Mining and Knowledge Discovery
#156
of 546 outputs
Outputs of similar age
#50,198
of 171,092 outputs
Outputs of similar age from Data Mining and Knowledge Discovery
#2
of 7 outputs
Altmetric has tracked 23,854,458 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 546 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 56% 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 171,092 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.