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Skeleton Marching-based Parallel Vascular Geometry Reconstruction Using Implicit Functions

Overview of attention for article published in Machine Intelligence Research, September 2019
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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2 X users

Citations

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5 Dimensions

Readers on

mendeley
9 Mendeley
Title
Skeleton Marching-based Parallel Vascular Geometry Reconstruction Using Implicit Functions
Published in
Machine Intelligence Research, September 2019
DOI 10.1007/s11633-019-1189-4
Authors

Quan Qi, Qing-De Li, Yongqiang Cheng, Qing-Qi Hong

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 33%
Professor > Associate Professor 1 11%
Student > Bachelor 1 11%
Unknown 4 44%
Readers by discipline Count As %
Medicine and Dentistry 2 22%
Mathematics 1 11%
Engineering 1 11%
Unknown 5 56%
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 22 December 2020.
All research outputs
#19,954,338
of 25,385,509 outputs
Outputs from Machine Intelligence Research
#186
of 444 outputs
Outputs of similar age
#252,818
of 351,548 outputs
Outputs of similar age from Machine Intelligence Research
#6
of 13 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 444 research outputs from this source. They receive a mean Attention Score of 2.5. This one is in the 48th percentile – i.e., 48% 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 351,548 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.