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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The Andersen Model of Total Patient Delay: A Systematic Review of Its Application in Cancer Diagnosis
|
|---|---|
| Published in |
Journal of Health Services Research & Policy, April 2012
|
| DOI | 10.1258/jhsrp.2011.010113 |
| Pubmed ID | |
| Authors |
Fiona Walter, Andrew Webster, Suzanne Scott, Jon Emery |
| Abstract |
Patient pathways to presentation to health care professionals and initial management in primary care are key determinants of outcomes in cancer. Reducing diagnostic delays may result in improved prognosis and increase the proportion of early stage cancers identified. Investigating diagnostic delay could be facilitated by use of a robust theoretical framework. We systematically reviewed the literature reporting the application of Andersen's Model of Total Patient Delay (delay stages: appraisal, illness, behavioural, scheduling, treatment) in studies which assess cancer diagnosis. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 400 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | <1% |
| Indonesia | 1 | <1% |
| Australia | 1 | <1% |
| France | 1 | <1% |
| India | 1 | <1% |
| Spain | 1 | <1% |
| Unknown | 393 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 61 | 15% |
| Researcher | 57 | 14% |
| Student > Master | 55 | 14% |
| Student > Bachelor | 27 | 7% |
| Other | 26 | 7% |
| Other | 88 | 22% |
| Unknown | 86 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 142 | 36% |
| Nursing and Health Professions | 35 | 9% |
| Psychology | 26 | 7% |
| Social Sciences | 17 | 4% |
| Agricultural and Biological Sciences | 12 | 3% |
| Other | 61 | 15% |
| Unknown | 107 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 19 June 2022.
All research outputs
#2,233,995
of 22,707,247 outputs
Outputs from Journal of Health Services Research & Policy
#121
of 670 outputs
Outputs of similar age
#14,077
of 160,916 outputs
Outputs of similar age from Journal of Health Services Research & Policy
#2
of 8 outputs
Altmetric has tracked 22,707,247 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 670 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has done well, scoring higher than 81% 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 160,916 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 91% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.