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‘Big data’, Hadoop and cloud computing in genomics

Overview of attention for article published in Journal of Biomedical Informatics, July 2013
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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 (#19 of 2,247)
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
3 news outlets
policy
1 policy source
twitter
29 X users
patent
9 patents
googleplus
1 Google+ user

Citations

dimensions_citation
368 Dimensions

Readers on

mendeley
924 Mendeley
citeulike
8 CiteULike
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Title
‘Big data’, Hadoop and cloud computing in genomics
Published in
Journal of Biomedical Informatics, July 2013
DOI 10.1016/j.jbi.2013.07.001
Pubmed ID
Authors

Aisling O’Driscoll, Jurate Daugelaite, Roy D. Sleator

Abstract

Since the completion of the Human Genome project at the turn of the Century, there has been an unprecedented proliferation of genomic sequence data. A consequence of this is that the medical discoveries of the future will largely depend on our ability to process and analyse large genomic data sets, which continue to expand as the cost of sequencing decreases. Herein, we provide an overview of cloud computing and big data technologies, and discuss how such expertise can be used to deal with biology's big data sets. In particular, big data technologies such as the Apache Hadoop project, which provides distributed and parallelised data processing and analysis of petabyte (PB) scale data sets will be discussed, together with an overview of the current usage of Hadoop within the bioinformatics community.

X Demographics

X Demographics

The data shown below were collected from the profiles of 29 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 924 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 11 1%
Brazil 10 1%
United Kingdom 6 <1%
France 4 <1%
Canada 4 <1%
India 4 <1%
Germany 2 <1%
South Africa 2 <1%
Japan 2 <1%
Other 18 2%
Unknown 861 93%

Demographic breakdown

Readers by professional status Count As %
Student > Master 195 21%
Student > Ph. D. Student 175 19%
Researcher 118 13%
Student > Bachelor 107 12%
Student > Doctoral Student 50 5%
Other 161 17%
Unknown 118 13%
Readers by discipline Count As %
Computer Science 412 45%
Agricultural and Biological Sciences 100 11%
Engineering 75 8%
Biochemistry, Genetics and Molecular Biology 52 6%
Business, Management and Accounting 42 5%
Other 102 11%
Unknown 141 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 52. 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 09 May 2023.
All research outputs
#806,453
of 25,374,917 outputs
Outputs from Journal of Biomedical Informatics
#19
of 2,247 outputs
Outputs of similar age
#6,436
of 207,998 outputs
Outputs of similar age from Journal of Biomedical Informatics
#1
of 31 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,247 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done particularly well, scoring higher than 99% 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 207,998 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 96% of its contemporaries.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.