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Is dementia research ready for big data approaches?

Overview of attention for article published in BMC Medicine, June 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

news
1 news outlet
twitter
25 X users
facebook
1 Facebook page

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
53 Mendeley
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Title
Is dementia research ready for big data approaches?
Published in
BMC Medicine, June 2015
DOI 10.1186/s12916-015-0367-7
Pubmed ID
Authors

Martin Hofmann-Apitius

Abstract

The "big data" paradigm has gained a lot of attention recently, in particular in those areas of biomedicine where we face clear unmet medical needs. Coined as a new paradigm for complex problem solving, big data approaches seem to open promising perspectives in particular for a better understanding of complex diseases such as Alzheimer's disease and other dementias. In this commentary, we will provide a brief overview on big data principles and the potential they may bring to dementia research, and - most importantly - we will do a reality check in order to provide an answer to the question of whether dementia research is ready for big data approaches.

X Demographics

X Demographics

The data shown below were collected from the profiles of 25 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
United States 1 2%
Canada 1 2%
Unknown 50 94%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 21%
Researcher 11 21%
Student > Ph. D. Student 6 11%
Professor > Associate Professor 4 8%
Professor 4 8%
Other 10 19%
Unknown 7 13%
Readers by discipline Count As %
Medicine and Dentistry 10 19%
Social Sciences 5 9%
Computer Science 5 9%
Biochemistry, Genetics and Molecular Biology 4 8%
Psychology 3 6%
Other 14 26%
Unknown 12 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 24. 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 16 December 2016.
All research outputs
#1,333,359
of 22,813,792 outputs
Outputs from BMC Medicine
#935
of 3,421 outputs
Outputs of similar age
#17,896
of 263,835 outputs
Outputs of similar age from BMC Medicine
#20
of 72 outputs
Altmetric has tracked 22,813,792 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,421 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.6. This one has gotten more attention than average, scoring higher than 72% 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 263,835 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 93% of its contemporaries.
We're also able to compare this research output to 72 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 72% of its contemporaries.