↓ Skip to main content

An analysis of structural validity in entity-relationship modeling

Overview of attention for article published in Data & Knowledge Engineering, November 2003
Altmetric Badge

Mentioned by

wikipedia
1 Wikipedia page

Readers on

mendeley
51 Mendeley
citeulike
1 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Article details
Title
An analysis of structural validity in entity-relationship modeling
Published in
Data & Knowledge Engineering, November 2003
DOI 10.1016/s0169-023x(03)00049-1
Authors

James Dullea, Il-Yeol Song, Ioanna Lamprou

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
Activity
Login to access the full charts related to this output.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Login to view Mendeley reader trends over time.

Geographical breakdown

Geographical breakdown
Country Count As %
Netherlands 1 2%
Nigeria 1 2%
United Kingdom 1 2%
Brazil 1 2%
Unknown 47 92%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 12 24%
Student > Ph. D. Student 8 16%
Researcher 7 14%
Student > Bachelor 4 8%
Lecturer 3 6%
Other 10 20%
Unknown 7 14%
Readers by discipline
Readers by discipline Count As %
Computer Science 27 53%
Business, Management and Accounting 4 8%
Agricultural and Biological Sciences 2 4%
Economics, Econometrics and Finance 2 4%
Philosophy 1 2%
Other 5 10%
Unknown 10 20%
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 25 May 2024.
All research outputs
#9,514,305
of 27,774,969 outputs
Outputs from Data & Knowledge Engineering
#78
of 388 outputs
Outputs of similar age
#24,131
of 64,058 outputs
Outputs of similar age from Data & Knowledge Engineering
#2
of 4 outputs
Altmetric has tracked 27,774,969 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 388 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 28th percentile – i.e., 28% 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 64,058 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.