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Incremental modelling of ambiguous geometric ideas (I-MAGI): representation and maintenance of vague geometry

Overview of attention for article published in Artificial Intelligence in Engineering, April 2001
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Mentioned by

patent
3 patents

Readers on

mendeley
19 Mendeley
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Article details
Title
Incremental modelling of ambiguous geometric ideas (I-MAGI): representation and maintenance of vague geometry
Published in
Artificial Intelligence in Engineering, April 2001
DOI 10.1016/s0954-1810(01)00009-7
Authors

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Timeline Attention over time Attention Score history
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Activity
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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 1 5%
Unknown 18 95%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 5 26%
Student > Doctoral Student 2 11%
Student > Bachelor 2 11%
Student > Ph. D. Student 2 11%
Professor > Associate Professor 2 11%
Other 2 11%
Unknown 4 21%
Readers by discipline
Readers by discipline Count As %
Engineering 6 32%
Computer Science 3 16%
Business, Management and Accounting 2 11%
Design 2 11%
Social Sciences 1 5%
Other 0 0%
Unknown 5 26%
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 28 March 2017.
All research outputs
#9,515,244
of 27,776,330 outputs
Outputs from Artificial Intelligence in Engineering
#3
of 10 outputs
Outputs of similar age
#17,292
of 48,713 outputs
Outputs of similar age from Artificial Intelligence in Engineering
#1
of 1 outputs
Altmetric has tracked 27,776,330 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.6. This one scored the same or higher as 7 of them.
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 48,713 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 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