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BitTorious: global controlled genomics data publication, research and archiving via BitTorrent extensions

Overview of attention for article published in BMC Bioinformatics, December 2014
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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)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

twitter
27 tweeters
weibo
2 weibo users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
29 Mendeley
citeulike
2 CiteULike
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Title
BitTorious: global controlled genomics data publication, research and archiving via BitTorrent extensions
Published in
BMC Bioinformatics, December 2014
DOI 10.1186/s12859-014-0424-9
Pubmed ID
Authors

Preston V Lee, Valentin Dinu

Abstract

BackgroundCentralized silos of genomic data are architecturally easier to initially design, develop and deploy than distributed models. However, as interoperability pains in EHR/EMR, HIE and other collaboration-centric life sciences domains have taught us, the core challenge of networking genomics systems is not in the construction of individual silos, but the interoperability of those deployments in a manner embracing the heterogeneous needs, terms and infrastructure of collaborating parties. This article demonstrates the adaptation of BitTorrent to private collaboration networks in an authenticated, authorized and encrypted manner while retaining the same characteristics of standard BitTorrent.ResultsThe BitTorious portal was sucessfully used to manage many concurrent domestic Bittorrent clients across the United States: exchanging genomics data payloads in excess of 500GiB using the uTorrent client software on Linux, OSX and Windows platforms. Individual nodes were sporadically interrupted to verify the resilience of the system to outages of a single client node as well as recovery of nodes resuming operation on intermittent Internet connections.ConclusionsThe authorization-based extension of Bittorrent and accompanying BitTorious reference tracker and user management web portal provide a free, standards-based, general purpose and extensible data distribution system for large `omics collaborations.

Twitter Demographics

The data shown below were collected from the profiles of 27 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 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 7%
Singapore 1 3%
Brazil 1 3%
Unknown 25 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 31%
Student > Doctoral Student 5 17%
Student > Bachelor 5 17%
Student > Ph. D. Student 4 14%
Lecturer 1 3%
Other 3 10%
Unknown 2 7%
Readers by discipline Count As %
Computer Science 9 31%
Agricultural and Biological Sciences 8 28%
Biochemistry, Genetics and Molecular Biology 2 7%
Engineering 2 7%
Social Sciences 2 7%
Other 2 7%
Unknown 4 14%

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 25 July 2016.
All research outputs
#1,155,120
of 18,461,354 outputs
Outputs from BMC Bioinformatics
#232
of 6,397 outputs
Outputs of similar age
#20,772
of 319,212 outputs
Outputs of similar age from BMC Bioinformatics
#16
of 327 outputs
Altmetric has tracked 18,461,354 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,397 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done particularly well, scoring higher than 96% 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 319,212 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 327 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 95% of its contemporaries.