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Extension of empirical specific cutting force model for the process of fine chip-removing milling

Overview of attention for article published in The International Journal of Advanced Manufacturing Technology, June 2016
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Mentioned by

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1 Facebook page

Citations

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30 Dimensions

Readers on

mendeley
15 Mendeley
Title
Extension of empirical specific cutting force model for the process of fine chip-removing milling
Published in
The International Journal of Advanced Manufacturing Technology, June 2016
DOI 10.1007/s00170-016-8957-x
Authors

István Biró, Tibor Szalay

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 40%
Professor 2 13%
Student > Ph. D. Student 2 13%
Lecturer 1 7%
Researcher 1 7%
Other 0 0%
Unknown 3 20%
Readers by discipline Count As %
Engineering 11 73%
Materials Science 1 7%
Unknown 3 20%
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 13 June 2016.
All research outputs
#21,142,886
of 23,794,258 outputs
Outputs from The International Journal of Advanced Manufacturing Technology
#1,142
of 1,230 outputs
Outputs of similar age
#296,623
of 343,377 outputs
Outputs of similar age from The International Journal of Advanced Manufacturing Technology
#15
of 18 outputs
Altmetric has tracked 23,794,258 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 1,230 research outputs from this source. They receive a mean Attention Score of 3.6. 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 343,377 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 18 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.