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Systematizing new value proposition through a TRIZ-based classification of functional features

Overview of attention for article published in Procedia Engineering, January 2011
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93 Mendeley
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Article details
Title
Systematizing new value proposition through a TRIZ-based classification of functional features
Published in
Procedia Engineering, January 2011
DOI 10.1016/j.proeng.2011.03.104
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 93 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 %
South Africa 1 1%
Romania 1 1%
Portugal 1 1%
Malaysia 1 1%
Italy 1 1%
Ireland 1 1%
Indonesia 1 1%
Brazil 1 1%
Unknown 85 91%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 17 18%
Student > Master 15 16%
Researcher 13 14%
Student > Doctoral Student 7 8%
Professor > Associate Professor 6 6%
Other 18 19%
Unknown 17 18%
Readers by discipline
Readers by discipline Count As %
Engineering 29 31%
Business, Management and Accounting 21 23%
Computer Science 5 5%
Environmental Science 4 4%
Design 4 4%
Other 7 8%
Unknown 23 25%
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 27 January 2014.
All research outputs
#20,217,843
of 22,741,406 outputs
Outputs from Procedia Engineering
#1,761
of 1,946 outputs
Outputs of similar age
#170,021
of 180,516 outputs
Outputs of similar age from Procedia Engineering
#188
of 201 outputs
Altmetric has tracked 22,741,406 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 1,946 research outputs from this source. They receive a mean Attention Score of 3.8. 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 180,516 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 201 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.