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Fastr: A Workflow Engine for Advanced Data Flows in Medical Image Analysis

Overview of attention for article published in Frontiers in ICT, August 2016
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1 X user

Readers on

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22 Mendeley
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1 CiteULike
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Title
Fastr: A Workflow Engine for Advanced Data Flows in Medical Image Analysis
Published in
Frontiers in ICT, August 2016
DOI 10.3389/fict.2016.00015
Authors

Hakim C. Achterberg, Marcel Koek, Wiro J. Niessen

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 %
New Zealand 1 5%
Unknown 21 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 36%
Researcher 3 14%
Unspecified 2 9%
Professor > Associate Professor 2 9%
Student > Bachelor 1 5%
Other 2 9%
Unknown 4 18%
Readers by discipline Count As %
Engineering 5 23%
Computer Science 3 14%
Unspecified 2 9%
Biochemistry, Genetics and Molecular Biology 2 9%
Neuroscience 2 9%
Other 2 9%
Unknown 6 27%
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 16 November 2016.
All research outputs
#18,467,727
of 22,883,326 outputs
Outputs from Frontiers in ICT
#95
of 142 outputs
Outputs of similar age
#261,456
of 341,487 outputs
Outputs of similar age from Frontiers in ICT
#3
of 9 outputs
Altmetric has tracked 22,883,326 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 142 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one is in the 1st percentile – i.e., 1% 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 341,487 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 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.