↓ Skip to main content

Roster evaluation based on classifiers for the nurse rostering problem

Overview of attention for article published in Journal of Heuristics, September 2016
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
5 X users

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
29 Mendeley
Title
Roster evaluation based on classifiers for the nurse rostering problem
Published in
Journal of Heuristics, September 2016
DOI 10.1007/s10732-016-9314-9
Authors

Roman Václavík, Přemysl Šůcha, Zdeněk Hanzálek

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 34%
Student > Ph. D. Student 4 14%
Student > Doctoral Student 2 7%
Student > Bachelor 2 7%
Professor 2 7%
Other 5 17%
Unknown 4 14%
Readers by discipline Count As %
Computer Science 7 24%
Engineering 7 24%
Nursing and Health Professions 4 14%
Business, Management and Accounting 2 7%
Economics, Econometrics and Finance 2 7%
Other 3 10%
Unknown 4 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 16 April 2018.
All research outputs
#15,751,441
of 24,002,307 outputs
Outputs from Journal of Heuristics
#58
of 108 outputs
Outputs of similar age
#205,551
of 334,505 outputs
Outputs of similar age from Journal of Heuristics
#2
of 2 outputs
Altmetric has tracked 24,002,307 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 108 research outputs from this source. They receive a mean Attention Score of 2.1. This one is in the 46th percentile – i.e., 46% 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 334,505 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.