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Toward systematic reviews to understand the determinants of wait time management success to help decision-makers and managers better manage wait times

Overview of attention for article published in Implementation Science, June 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

Mentioned by

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10 X users

Citations

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23 Dimensions

Readers on

mendeley
130 Mendeley
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Title
Toward systematic reviews to understand the determinants of wait time management success to help decision-makers and managers better manage wait times
Published in
Implementation Science, June 2013
DOI 10.1186/1748-5908-8-61
Pubmed ID
Authors

Marie-Pascale Pomey, Pierre-Gerlier Forest, Claudia Sanmartin, Carolyn DeCoster, Nathalie Clavel, Elaine Warren, Madeleine Drew, Tom Noseworthy

Abstract

Long waits for core specialized services have consistently been identified as a key barrier to access. Governments and organizations at all levels have responded with strategies for better wait list management. While these initiatives are promising, insufficient attention has been paid to factors influencing the implementation and sustainability of wait time management strategies (WTMS) implemented at the organizational level.

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 130 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 1 <1%
Chile 1 <1%
Norway 1 <1%
Australia 1 <1%
United Kingdom 1 <1%
Argentina 1 <1%
Unknown 124 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 33 25%
Researcher 16 12%
Student > Ph. D. Student 14 11%
Student > Doctoral Student 8 6%
Professor 7 5%
Other 28 22%
Unknown 24 18%
Readers by discipline Count As %
Medicine and Dentistry 32 25%
Nursing and Health Professions 13 10%
Business, Management and Accounting 11 8%
Social Sciences 11 8%
Engineering 7 5%
Other 31 24%
Unknown 25 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 12 July 2019.
All research outputs
#5,612,714
of 23,577,654 outputs
Outputs from Implementation Science
#947
of 1,728 outputs
Outputs of similar age
#45,784
of 199,268 outputs
Outputs of similar age from Implementation Science
#15
of 34 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,728 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.8. This one is in the 45th percentile – i.e., 45% 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 199,268 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 34 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 55% of its contemporaries.