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3D density inversion of gravity gradiometry data with a multilevel hybrid parallel algorithm

Overview of attention for article published in Applied Geophysics, June 2019
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About this Attention Score

  • Among the highest-scoring outputs from this source (#15 of 215)
  • Above-average Attention Score compared to outputs of the same age (62nd percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

twitter
1 X user
patent
1 patent

Citations

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10 Dimensions

Readers on

mendeley
4 Mendeley
Title
3D density inversion of gravity gradiometry data with a multilevel hybrid parallel algorithm
Published in
Applied Geophysics, June 2019
DOI 10.1007/s11770-019-0763-4
Authors

Zhen-Long Hou, Da-Nian Huang, En-De Wang, Hao Cheng

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

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 25%
Student > Ph. D. Student 1 25%
Researcher 1 25%
Other 1 25%
Readers by discipline Count As %
Computer Science 3 75%
Earth and Planetary Sciences 1 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 02 November 2021.
All research outputs
#7,782,110
of 24,946,857 outputs
Outputs from Applied Geophysics
#15
of 215 outputs
Outputs of similar age
#131,770
of 359,208 outputs
Outputs of similar age from Applied Geophysics
#2
of 27 outputs
Altmetric has tracked 24,946,857 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 215 research outputs from this source. They receive a mean Attention Score of 1.8. This one has done particularly well, scoring higher than 90% 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 359,208 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.