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Mendeley readers
Attention Score in Context
Title |
Waiting to see the specialist: patient and provider characteristics of wait times from primary to specialty care
|
---|---|
Published in |
BMC Primary Care, January 2014
|
DOI | 10.1186/1471-2296-15-16 |
Pubmed ID | |
Authors |
Liisa Jaakkimainen, Richard Glazier, Jan Barnsley, Erin Salkeld, Hong Lu, Karen Tu |
Abstract |
Wait times are an important measure of access to various health care sectors and from a patient's perspective include several stages in their care. While mechanisms to improve wait times from specialty care have been developed across Canada, little is known about wait times from primary to specialty care. Our objectives were to calculate the wait times from when a referral is made by a family physician (FP) to when a patient sees a specialist physician and examine patient and provider factors related to these wait times. |
X Demographics
The data shown below were collected from the profiles of 18 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 4 | 22% |
Canada | 3 | 17% |
Spain | 2 | 11% |
Cameroon | 1 | 6% |
Comoros | 1 | 6% |
Unknown | 7 | 39% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 10 | 56% |
Practitioners (doctors, other healthcare professionals) | 4 | 22% |
Scientists | 3 | 17% |
Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 139 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Korea, Republic of | 1 | <1% |
United Kingdom | 1 | <1% |
Canada | 1 | <1% |
Rwanda | 1 | <1% |
United States | 1 | <1% |
Unknown | 134 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 33 | 24% |
Researcher | 22 | 16% |
Student > Bachelor | 12 | 9% |
Student > Ph. D. Student | 11 | 8% |
Other | 9 | 6% |
Other | 27 | 19% |
Unknown | 25 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 46 | 33% |
Social Sciences | 13 | 9% |
Nursing and Health Professions | 12 | 9% |
Business, Management and Accounting | 7 | 5% |
Engineering | 6 | 4% |
Other | 16 | 12% |
Unknown | 39 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 2015.
All research outputs
#2,806,317
of 25,374,647 outputs
Outputs from BMC Primary Care
#350
of 2,359 outputs
Outputs of similar age
#32,105
of 321,552 outputs
Outputs of similar age from BMC Primary Care
#7
of 50 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,359 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has done well, scoring higher than 85% 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 321,552 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 50 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.