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Use and Maintenance of Histograms for Large Scientific Database Access Planning: A Case Study of a Pharmaceutical Data Repository

Overview of attention for article published in Journal of Intelligent Information Systems, September 2004
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Mentioned by

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1 Facebook page

Readers on

mendeley
5 Mendeley
citeulike
1 CiteULike
Title
Use and Maintenance of Histograms for Large Scientific Database Access Planning: A Case Study of a Pharmaceutical Data Repository
Published in
Journal of Intelligent Information Systems, September 2004
DOI 10.1023/b:jiis.0000039533.13569.8e
Authors

Zina Ben Miled, Jin Liu, Omran Bukhres, Huian Li, Jesse Martin, Chavali Balagopalakrishna, Robert Oppelt

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 40%
Student > Ph. D. Student 1 20%
Lecturer 1 20%
Other 1 20%
Readers by discipline Count As %
Computer Science 3 60%
Biochemistry, Genetics and Molecular Biology 1 20%
Social Sciences 1 20%
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 28 February 2012.
All research outputs
#22,759,452
of 25,374,647 outputs
Outputs from Journal of Intelligent Information Systems
#192
of 204 outputs
Outputs of similar age
#68,330
of 69,942 outputs
Outputs of similar age from Journal of Intelligent Information Systems
#3
of 3 outputs
Altmetric has tracked 25,374,647 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 204 research outputs from this source. They receive a mean Attention Score of 3.1. 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 69,942 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 3 others from the same source and published within six weeks on either side of this one.