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d2o: a distributed data object for parallel high-performance computing in Python

Overview of attention for article published in Journal of Big Data, September 2016
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Mentioned by

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1 X user

Citations

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6 Dimensions

Readers on

mendeley
22 Mendeley
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Title
d2o: a distributed data object for parallel high-performance computing in Python
Published in
Journal of Big Data, September 2016
DOI 10.1186/s40537-016-0052-5
Authors

Theo Steininger, Maksim Greiner, Frederik Beaujean, Torsten Enßlin

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 5%
Unknown 21 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 18%
Student > Doctoral Student 3 14%
Student > Ph. D. Student 3 14%
Librarian 2 9%
Student > Master 2 9%
Other 4 18%
Unknown 4 18%
Readers by discipline Count As %
Physics and Astronomy 4 18%
Computer Science 4 18%
Agricultural and Biological Sciences 2 9%
Business, Management and Accounting 2 9%
Environmental Science 1 5%
Other 4 18%
Unknown 5 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 17 October 2016.
All research outputs
#19,701,336
of 24,226,848 outputs
Outputs from Journal of Big Data
#278
of 367 outputs
Outputs of similar age
#250,320
of 326,380 outputs
Outputs of similar age from Journal of Big Data
#5
of 5 outputs
Altmetric has tracked 24,226,848 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 367 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.5. This one is in the 5th percentile – i.e., 5% 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 326,380 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one.