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A review of data mining using big data in health informatics

Overview of attention for article published in Journal of Big Data, June 2014
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#22 of 296)
  • High Attention Score compared to outputs of the same age (94th percentile)

Mentioned by

news
1 news outlet
twitter
21 tweeters
googleplus
2 Google+ users

Citations

dimensions_citation
198 Dimensions

Readers on

mendeley
585 Mendeley
citeulike
1 CiteULike
Title
A review of data mining using big data in health informatics
Published in
Journal of Big Data, June 2014
DOI 10.1186/2196-1115-1-2
Authors

Matthew Herland, Taghi M Khoshgoftaar, Randall Wald

Twitter Demographics

The data shown below were collected from the profiles of 21 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 585 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 1%
United Kingdom 3 <1%
Indonesia 2 <1%
Portugal 2 <1%
India 2 <1%
Hong Kong 1 <1%
Australia 1 <1%
Ireland 1 <1%
Italy 1 <1%
Other 7 1%
Unknown 559 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 144 25%
Student > Ph. D. Student 133 23%
Researcher 70 12%
Student > Bachelor 40 7%
Student > Postgraduate 29 5%
Other 108 18%
Unknown 61 10%
Readers by discipline Count As %
Computer Science 245 42%
Engineering 48 8%
Medicine and Dentistry 45 8%
Business, Management and Accounting 38 6%
Agricultural and Biological Sciences 25 4%
Other 87 15%
Unknown 97 17%

Attention Score in Context

This research output has an Altmetric Attention Score of 29. 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 27 March 2019.
All research outputs
#982,478
of 20,248,805 outputs
Outputs from Journal of Big Data
#22
of 296 outputs
Outputs of similar age
#10,906
of 200,654 outputs
Outputs of similar age from Journal of Big Data
#1
of 1 outputs
Altmetric has tracked 20,248,805 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 296 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.8. This one has done particularly well, scoring higher than 92% 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 200,654 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them