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Specialist wait time reporting using family physicians’ electronic medical record data: a mixed method study of feasibility and clinical utility

Overview of attention for article published in BMC Primary Care, April 2022
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
22 Mendeley
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Title
Specialist wait time reporting using family physicians’ electronic medical record data: a mixed method study of feasibility and clinical utility
Published in
BMC Primary Care, April 2022
DOI 10.1186/s12875-022-01679-x
Pubmed ID
Authors

Michelle S. Naimer, Babak Aliarzadeh, Chaim M. Bell, Noah Ivers, Liisa Jaakkimainen, Warren McIsaac, Christopher Meaney, Rahim Moineddin, Joanne A. Permaul, Tutsirai Makuwaza, Sahana Kukan

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 2 9%
Student > Master 2 9%
Unspecified 1 5%
Other 1 5%
Student > Bachelor 1 5%
Other 2 9%
Unknown 13 59%
Readers by discipline Count As %
Nursing and Health Professions 3 14%
Medicine and Dentistry 2 9%
Business, Management and Accounting 1 5%
Unspecified 1 5%
Social Sciences 1 5%
Other 1 5%
Unknown 13 59%
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 31 July 2023.
All research outputs
#15,864,950
of 24,176,243 outputs
Outputs from BMC Primary Care
#221
of 352 outputs
Outputs of similar age
#239,752
of 432,048 outputs
Outputs of similar age from BMC Primary Care
#38
of 61 outputs
Altmetric has tracked 24,176,243 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 352 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one is in the 36th percentile – i.e., 36% 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 432,048 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 61 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.