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A linear programming approach for placement of applicants to academic programs

Overview of attention for article published in SpringerPlus, December 2013
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  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

Mentioned by

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2 X users
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1 Google+ user

Citations

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4 Dimensions

Readers on

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14 Mendeley
Title
A linear programming approach for placement of applicants to academic programs
Published in
SpringerPlus, December 2013
DOI 10.1186/2193-1801-2-682
Pubmed ID
Authors

Biniyam Asmare Kassa

Abstract

This paper reports a linear programming approach for placement of applicants to study programs developed and implemented at the college of Business & Economics, Bahir Dar University, Bahir Dar, Ethiopia. The approach is estimated to significantly streamline the placement decision process at the college by reducing required man hour as well as the time it takes to announce placement decisions. Compared to the previous manual system where only one or two placement criteria were considered, the new approach allows the college's management to easily incorporate additional placement criteria, if needed. Comparison of our approach against manually constructed placement decisions based on actual data for the 2012/13 academic year suggested that about 93 percent of the placements from our model concur with the actual placement decisions. For the remaining 7 percent of placements, however, the actual placements made by the manual system display inconsistencies of decisions judged against the very criteria intended to guide placement decisions by the college's program management office. Overall, the new approach proves to be a significant improvement over the manual system in terms of efficiency of the placement process and the quality of placement decisions.

X Demographics

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The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 2 14%
Student > Ph. D. Student 2 14%
Professor 2 14%
Student > Bachelor 1 7%
Student > Master 1 7%
Other 1 7%
Unknown 5 36%
Readers by discipline Count As %
Business, Management and Accounting 3 21%
Social Sciences 2 14%
Nursing and Health Professions 1 7%
Mathematics 1 7%
Computer Science 1 7%
Other 1 7%
Unknown 5 36%
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 11 June 2016.
All research outputs
#13,172,995
of 22,749,166 outputs
Outputs from SpringerPlus
#653
of 1,853 outputs
Outputs of similar age
#162,021
of 306,164 outputs
Outputs of similar age from SpringerPlus
#36
of 75 outputs
Altmetric has tracked 22,749,166 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,853 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has gotten more attention than average, scoring higher than 63% 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 306,164 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 75 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.