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Computational modeling of the nonlinear stochastic dynamics of horizontal drillstrings

Overview of attention for article published in Computational Mechanics, September 2015
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Mentioned by

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1 YouTube creator

Citations

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29 Dimensions

Readers on

mendeley
28 Mendeley
Title
Computational modeling of the nonlinear stochastic dynamics of horizontal drillstrings
Published in
Computational Mechanics, September 2015
DOI 10.1007/s00466-015-1206-6
Authors

Americo Cunha, Christian Soize, Rubens Sampaio

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Professor 5 18%
Student > Doctoral Student 4 14%
Student > Master 4 14%
Researcher 3 11%
Student > Bachelor 1 4%
Other 2 7%
Unknown 9 32%
Readers by discipline Count As %
Engineering 16 57%
Mathematics 2 7%
Physics and Astronomy 1 4%
Unknown 9 32%
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 10 December 2016.
All research outputs
#20,363,191
of 22,912,409 outputs
Outputs from Computational Mechanics
#209
of 254 outputs
Outputs of similar age
#224,380
of 267,105 outputs
Outputs of similar age from Computational Mechanics
#2
of 3 outputs
Altmetric has tracked 22,912,409 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 254 research outputs from this source. They receive a mean Attention Score of 3.7. 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 267,105 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.