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Sharing big biomedical data

Overview of attention for article published in Journal of Big Data, June 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#50 of 363)
  • High Attention Score compared to outputs of the same age (89th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

blogs
1 blog
twitter
13 X users

Citations

dimensions_citation
39 Dimensions

Readers on

mendeley
143 Mendeley
citeulike
1 CiteULike
Title
Sharing big biomedical data
Published in
Journal of Big Data, June 2015
DOI 10.1186/s40537-015-0016-1
Pubmed ID
Authors

Arthur W Toga, Ivo D Dinov

Abstract

The promise of Big Biomedical Data may be offset by the enormous challenges in handling, analyzing, and sharing it. In this paper, we provide a framework for developing practical and reasonable data sharing policies that incorporate the sociological, financial, technical and scientific requirements of a sustainable Big Data dependent scientific community. Many biomedical and healthcare studies may be significantly impacted by using large, heterogeneous and incongruent datasets; however there are significant technical, social, regulatory, and institutional barriers that need to be overcome to ensure the power of Big Data overcomes these detrimental factors. Pragmatic policies that demand extensive sharing of data, promotion of data fusion, provenance, interoperability and balance security and protection of personal information are critical for the long term impact of translational Big Data analytics.

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 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 143 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 1%
Malaysia 1 <1%
France 1 <1%
Italy 1 <1%
India 1 <1%
United Kingdom 1 <1%
Luxembourg 1 <1%
Unknown 135 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 22%
Student > Master 22 15%
Researcher 16 11%
Student > Bachelor 12 8%
Other 10 7%
Other 30 21%
Unknown 22 15%
Readers by discipline Count As %
Computer Science 49 34%
Engineering 16 11%
Agricultural and Biological Sciences 9 6%
Medicine and Dentistry 9 6%
Business, Management and Accounting 8 6%
Other 22 15%
Unknown 30 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 23 September 2018.
All research outputs
#2,269,282
of 23,896,578 outputs
Outputs from Journal of Big Data
#50
of 363 outputs
Outputs of similar age
#28,999
of 266,371 outputs
Outputs of similar age from Journal of Big Data
#3
of 9 outputs
Altmetric has tracked 23,896,578 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 363 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.5. This one has done well, scoring higher than 86% 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 266,371 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.