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A framework for empirical evaluation of conceptual modeling techniques

Overview of attention for article published in Requirements Engineering, October 2004
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Mentioned by

wikipedia
3 Wikipedia pages

Citations

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145 Dimensions

Readers on

mendeley
190 Mendeley
citeulike
3 CiteULike
Title
A framework for empirical evaluation of conceptual modeling techniques
Published in
Requirements Engineering, October 2004
DOI 10.1007/s00766-004-0204-6
Authors

Andrew Gemino, Yair Wand

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 190 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 5 3%
United States 4 2%
Canada 2 1%
Belgium 2 1%
Malaysia 1 <1%
Indonesia 1 <1%
Ghana 1 <1%
Netherlands 1 <1%
Australia 1 <1%
Other 7 4%
Unknown 165 87%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 53 28%
Student > Master 29 15%
Researcher 28 15%
Student > Bachelor 18 9%
Professor 14 7%
Other 31 16%
Unknown 17 9%
Readers by discipline Count As %
Computer Science 82 43%
Business, Management and Accounting 41 22%
Engineering 16 8%
Economics, Econometrics and Finance 7 4%
Environmental Science 4 2%
Other 18 9%
Unknown 22 12%
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 23 June 2020.
All research outputs
#7,453,350
of 22,786,087 outputs
Outputs from Requirements Engineering
#55
of 199 outputs
Outputs of similar age
#19,935
of 61,524 outputs
Outputs of similar age from Requirements Engineering
#1
of 1 outputs
Altmetric has tracked 22,786,087 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 199 research outputs from this source. They receive a mean Attention Score of 2.9. This one has gotten more attention than average, scoring higher than 61% of its peers.
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 61,524 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% 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