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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Cancer suspicion in general practice, urgent referral and time to diagnosis: a population-based GP survey and registry study
|
|---|---|
| Published in |
BMC Cancer, August 2014
|
| DOI | 10.1186/1471-2407-14-636 |
| Pubmed ID | |
| Authors |
Henry Jensen, Marie Louise Tørring, Frede Olesen, Jens Overgaard, Peter Vedsted |
| Abstract |
Many countries have implemented standardised cancer patient pathways (CPPs) to ensure fast diagnosis of patients suspected of having cancer. Yet, studies are sparse on the impact of such CPPs, and few have distinguished between referral routes. For incident cancer patients, we aimed to determine how often GPs suspected cancer at the time of first presentation of symptoms in general practice and to describe the routes of referral for further investigation. In addition, we aimed to analyse if the GP's suspicion of cancer could predict the choice of referral to a CPP. Finally, we aimed to analyse associations between not only cancer suspicion and time to cancer diagnosis, but also between choice of referral route and time to cancer diagnosis. |
X Demographics
The data shown below were collected from the profiles of 3 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 | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 2 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 134 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 134 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 27 | 20% |
| Student > Ph. D. Student | 24 | 18% |
| Student > Master | 20 | 15% |
| Other | 10 | 7% |
| Student > Postgraduate | 5 | 4% |
| Other | 14 | 10% |
| Unknown | 34 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 55 | 41% |
| Nursing and Health Professions | 11 | 8% |
| Social Sciences | 7 | 5% |
| Neuroscience | 3 | 2% |
| Arts and Humanities | 3 | 2% |
| Other | 12 | 9% |
| Unknown | 43 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 23. 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 January 2020.
All research outputs
#1,530,412
of 24,375,780 outputs
Outputs from BMC Cancer
#218
of 8,657 outputs
Outputs of similar age
#15,860
of 240,666 outputs
Outputs of similar age from BMC Cancer
#3
of 159 outputs
Altmetric has tracked 24,375,780 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,657 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done particularly well, scoring higher than 97% 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 240,666 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 93% of its contemporaries.
We're also able to compare this research output to 159 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.