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Erratum to: A quantitative assessment of the Hadoop framework for analyzing massively parallel DNA sequencing data

Overview of attention for article published in Giga Science, December 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)

Mentioned by

twitter
1 tweeter
googleplus
1 Google+ user

Readers on

mendeley
4 Mendeley
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Title
Erratum to: A quantitative assessment of the Hadoop framework for analyzing massively parallel DNA sequencing data
Published in
Giga Science, December 2015
DOI 10.1186/s13742-015-0100-7
Pubmed ID
Authors

Alexey Siretskiy, Tore Sundqvist, Mikhail Voznesenskiy, Ola Spjuth

Abstract

[This corrects the article DOI: 10.1186/s13742-015-0058-5.].

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 25%
Professor > Associate Professor 1 25%
Researcher 1 25%
Student > Postgraduate 1 25%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 1 25%
Biochemistry, Genetics and Molecular Biology 1 25%
Computer Science 1 25%
Agricultural and Biological Sciences 1 25%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 14 December 2015.
All research outputs
#8,044,477
of 13,974,181 outputs
Outputs from Giga Science
#617
of 642 outputs
Outputs of similar age
#158,818
of 360,933 outputs
Outputs of similar age from Giga Science
#64
of 65 outputs
Altmetric has tracked 13,974,181 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 642 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.5. This one is in the 3rd percentile – i.e., 3% of its peers scored the same or lower than it.
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 360,933 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.
We're also able to compare this research output to 65 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.