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Investigation of nonlinear numerical mathematical model of a multiple shaft gas turbine unit

Overview of attention for article published in Journal of Mechanical Science and Technology, December 2003
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About this Attention Score

  • Among the highest-scoring outputs from this source (#45 of 293)

Mentioned by

patent
1 patent

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
2 Mendeley
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Title
Investigation of nonlinear numerical mathematical model of a multiple shaft gas turbine unit
Published in
Journal of Mechanical Science and Technology, December 2003
DOI 10.1007/bf02982449
Authors

SooYong Kim, Valeri P. Kovalevsky

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 50%
Student > Postgraduate 1 50%
Readers by discipline Count As %
Environmental Science 1 50%
Psychology 1 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 15 March 2016.
All research outputs
#8,535,472
of 25,374,647 outputs
Outputs from Journal of Mechanical Science and Technology
#45
of 293 outputs
Outputs of similar age
#36,085
of 142,657 outputs
Outputs of similar age from Journal of Mechanical Science and Technology
#1
of 2 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 293 research outputs from this source. They receive a mean Attention Score of 2.8. This one is in the 32nd percentile – i.e., 32% 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 142,657 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them