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Patient-reported measurement of time to diagnosis in cancer: development of the Cancer Symptom Interval Measure (C-SIM) and randomised controlled trial of method of delivery

Overview of attention for article published in BMC Health Services Research, January 2014
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

Mentioned by

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7 X users

Citations

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28 Dimensions

Readers on

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57 Mendeley
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Title
Patient-reported measurement of time to diagnosis in cancer: development of the Cancer Symptom Interval Measure (C-SIM) and randomised controlled trial of method of delivery
Published in
BMC Health Services Research, January 2014
DOI 10.1186/1472-6963-14-3
Pubmed ID
Authors

Richard D Neal, Sadia Nafees, Diana Pasterfield, Kerenza Hood, Maggie Hendry, Simon Gollins, Matthew Makin, Nick Stuart, Jim Turner, Ben Carter, Clare Wilkinson, Nefyn Williams, Mike Robling

Abstract

The duration between first symptom and a cancer diagnosis is important because, if shortened, may lead to earlier stage diagnosis and improved cancer outcomes. We have previously developed a tool to measure this duration in newly-diagnosed patients. In this two-phase study, we aimed further improve our tool and to conduct a trial comparing levels of anxiety between two modes of delivery: self-completed versus researcher-administered.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 57 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 23%
Student > Master 8 14%
Researcher 8 14%
Student > Doctoral Student 3 5%
Student > Bachelor 3 5%
Other 9 16%
Unknown 13 23%
Readers by discipline Count As %
Medicine and Dentistry 26 46%
Psychology 7 12%
Nursing and Health Professions 3 5%
Computer Science 2 4%
Agricultural and Biological Sciences 1 2%
Other 4 7%
Unknown 14 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 04 February 2016.
All research outputs
#7,194,603
of 22,739,983 outputs
Outputs from BMC Health Services Research
#3,549
of 7,609 outputs
Outputs of similar age
#87,485
of 304,530 outputs
Outputs of similar age from BMC Health Services Research
#50
of 112 outputs
Altmetric has tracked 22,739,983 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 7,609 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has gotten more attention than average, scoring higher than 52% 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 304,530 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 112 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.