| Title |
Personnel scheduling using an integer programming model- an application at Avanti Blue-Nile Hotels
|
|---|---|
| Published in |
SpringerPlus, July 2013
|
| DOI | 10.1186/2193-1801-2-333 |
| Pubmed ID | |
| Authors |
Biniyam Asmare Kassa, Anteneh Eshetu Tizazu |
X Demographics
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 28 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 25% |
| Student > Bachelor | 6 | 21% |
| Student > Postgraduate | 4 | 14% |
| Student > Ph. D. Student | 1 | 4% |
| Lecturer | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 9 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Mathematics | 6 | 21% |
| Engineering | 6 | 21% |
| Business, Management and Accounting | 3 | 11% |
| Computer Science | 2 | 7% |
| Economics, Econometrics and Finance | 2 | 7% |
| Other | 1 | 4% |
| Unknown | 8 | 29% |
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 13 June 2016.
All research outputs
#12,960,084
of 22,877,793 outputs
Outputs from SpringerPlus
#623
of 1,850 outputs
Outputs of similar age
#100,112
of 198,290 outputs
Outputs of similar age from SpringerPlus
#21
of 79 outputs
Altmetric has tracked 22,877,793 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 1,850 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 65% 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 198,290 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 79 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 72% of its contemporaries.