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Recommendations for open data science

Overview of attention for article published in Giga Science, May 2016
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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 (89th percentile)

Mentioned by

23 tweeters
1 peer review site
3 Facebook pages
1 Google+ user


7 Dimensions

Readers on

52 Mendeley
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Recommendations for open data science
Published in
Giga Science, May 2016
DOI 10.1186/s13742-016-0127-4
Pubmed ID

Melissa Gymrek, Yossi Farjoun


Life science research increasingly relies on large-scale computational analyses. However, the code and data used for these analyses are often lacking in publications. To maximize scientific impact, reproducibility, and reuse, it is crucial that these resources are made publicly available and are fully transparent. We provide recommendations for improving the openness of data-driven studies in life sciences.

Twitter Demographics

The data shown below were collected from the profiles of 23 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 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 52 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 25%
Student > Bachelor 8 15%
Researcher 7 13%
Student > Master 7 13%
Other 4 8%
Other 12 23%
Unknown 1 2%
Readers by discipline Count As %
Computer Science 13 25%
Engineering 7 13%
Biochemistry, Genetics and Molecular Biology 7 13%
Agricultural and Biological Sciences 7 13%
Medicine and Dentistry 6 12%
Other 9 17%
Unknown 3 6%

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 30 September 2018.
All research outputs
of 15,444,557 outputs
Outputs from Giga Science
of 744 outputs
Outputs of similar age
of 266,322 outputs
Outputs of similar age from Giga Science
of 1 outputs
Altmetric has tracked 15,444,557 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 744 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.2. This one has gotten more attention than average, scoring higher than 55% 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 266,322 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 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them