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Double-frame 3D-PTV using a tomographic predictor

Overview of attention for article published in Experiments in Fluids, October 2016
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About this Attention Score

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

Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
16 Mendeley
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Title
Double-frame 3D-PTV using a tomographic predictor
Published in
Experiments in Fluids, October 2016
DOI 10.1007/s00348-016-2247-0
Authors

Thomas Fuchs, Rainer Hain, Christian J. Kähler

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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 38%
Student > Doctoral Student 2 13%
Researcher 2 13%
Student > Master 2 13%
Professor > Associate Professor 1 6%
Other 1 6%
Unknown 2 13%
Readers by discipline Count As %
Engineering 7 44%
Physics and Astronomy 1 6%
Computer Science 1 6%
Earth and Planetary Sciences 1 6%
Sports and Recreations 1 6%
Other 1 6%
Unknown 4 25%

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 24 October 2016.
All research outputs
#9,770,718
of 12,227,808 outputs
Outputs from Experiments in Fluids
#432
of 844 outputs
Outputs of similar age
#186,403
of 264,797 outputs
Outputs of similar age from Experiments in Fluids
#8
of 19 outputs
Altmetric has tracked 12,227,808 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 844 research outputs from this source. They receive a mean Attention Score of 2.1. This one is in the 10th percentile – i.e., 10% 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 264,797 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.