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High dimensional biological data retrieval optimization with NoSQL technology

Overview of attention for article published in BMC Genomics, November 2014
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (75th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

twitter
6 tweeters

Citations

dimensions_citation
27 Dimensions

Readers on

mendeley
77 Mendeley
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Title
High dimensional biological data retrieval optimization with NoSQL technology
Published in
BMC Genomics, November 2014
DOI 10.1186/1471-2164-15-s8-s3
Pubmed ID
Authors

Shicai Wang, Ioannis Pandis, Chao Wu, Sijin He, David Johnson, Ibrahim Emam, Florian Guitton, Yike Guo

Twitter Demographics

The data shown below were collected from the profiles of 6 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 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 2 3%
United States 2 3%
Finland 1 1%
Brazil 1 1%
Canada 1 1%
France 1 1%
Luxembourg 1 1%
Unknown 68 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 26%
Student > Ph. D. Student 12 16%
Student > Master 12 16%
Other 6 8%
Student > Bachelor 3 4%
Other 8 10%
Unknown 16 21%
Readers by discipline Count As %
Computer Science 24 31%
Agricultural and Biological Sciences 10 13%
Biochemistry, Genetics and Molecular Biology 8 10%
Medicine and Dentistry 7 9%
Engineering 6 8%
Other 2 3%
Unknown 20 26%

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 04 August 2016.
All research outputs
#3,662,727
of 13,974,181 outputs
Outputs from BMC Genomics
#2,071
of 8,178 outputs
Outputs of similar age
#57,081
of 232,372 outputs
Outputs of similar age from BMC Genomics
#4
of 33 outputs
Altmetric has tracked 13,974,181 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 8,178 research outputs from this source. They receive a mean Attention Score of 4.2. This one has gotten more attention than average, scoring higher than 74% 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 232,372 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 75% of its contemporaries.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.