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Forecasting daily attendances at an emergency department to aid resource planning

Overview of attention for article published in BMC Emergency Medicine, January 2009
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Mentioned by

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1 X user

Citations

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133 Dimensions

Readers on

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142 Mendeley
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Title
Forecasting daily attendances at an emergency department to aid resource planning
Published in
BMC Emergency Medicine, January 2009
DOI 10.1186/1471-227x-9-1
Pubmed ID
Authors

Yan Sun, Bee Hoon Heng, Yian Tay Seow, Eillyne Seow

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 142 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 1 <1%
Italy 1 <1%
United Kingdom 1 <1%
Singapore 1 <1%
United States 1 <1%
Unknown 137 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 26 18%
Student > Master 24 17%
Student > Ph. D. Student 14 10%
Student > Bachelor 13 9%
Other 9 6%
Other 29 20%
Unknown 27 19%
Readers by discipline Count As %
Medicine and Dentistry 38 27%
Engineering 14 10%
Business, Management and Accounting 12 8%
Computer Science 11 8%
Agricultural and Biological Sciences 6 4%
Other 28 20%
Unknown 33 23%
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 March 2022.
All research outputs
#15,778,526
of 23,435,471 outputs
Outputs from BMC Emergency Medicine
#504
of 773 outputs
Outputs of similar age
#146,344
of 174,152 outputs
Outputs of similar age from BMC Emergency Medicine
#3
of 4 outputs
Altmetric has tracked 23,435,471 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 773 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one is in the 27th percentile – i.e., 27% 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 174,152 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.