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Exploring Semantic Web technologies for ontology-based modeling in collaborative engineering design

Overview of attention for article published in The International Journal of Advanced Manufacturing Technology, January 2007
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Mentioned by

wikipedia
2 Wikipedia pages

Citations

dimensions_citation
43 Dimensions

Readers on

mendeley
63 Mendeley
Title
Exploring Semantic Web technologies for ontology-based modeling in collaborative engineering design
Published in
The International Journal of Advanced Manufacturing Technology, January 2007
DOI 10.1007/s00170-006-0896-5
Authors

W. Y. Zhang, J. W. Yin

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
Germany 2 3%
China 1 2%
Mexico 1 2%
Unknown 57 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 25%
Student > Master 12 19%
Researcher 10 16%
Student > Bachelor 7 11%
Unspecified 5 8%
Other 7 11%
Unknown 6 10%
Readers by discipline Count As %
Computer Science 21 33%
Engineering 19 30%
Business, Management and Accounting 6 10%
Unspecified 5 8%
Design 3 5%
Other 3 5%
Unknown 6 10%
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 13 March 2021.
All research outputs
#7,846,128
of 23,794,258 outputs
Outputs from The International Journal of Advanced Manufacturing Technology
#264
of 1,230 outputs
Outputs of similar age
#43,597
of 160,908 outputs
Outputs of similar age from The International Journal of Advanced Manufacturing Technology
#4
of 8 outputs
Altmetric has tracked 23,794,258 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% 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 29th percentile – i.e., 29% 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 160,908 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.