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Symptom Signatures and Diagnostic Timeliness in Cancer Patients: A Review of Current Evidence

Overview of attention for article published in Neoplasia, December 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#34 of 1,368)
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

news
1 news outlet
twitter
17 X users

Citations

dimensions_citation
107 Dimensions

Readers on

mendeley
128 Mendeley
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Title
Symptom Signatures and Diagnostic Timeliness in Cancer Patients: A Review of Current Evidence
Published in
Neoplasia, December 2017
DOI 10.1016/j.neo.2017.11.005
Pubmed ID
Authors

Minjoung M. Koo, William Hamilton, Fiona M. Walter, Greg P. Rubin, Georgios Lyratzopoulos

Abstract

Early diagnosis is an important aspect of contemporary cancer prevention and control strategies, as the majority of patients are diagnosed following symptomatic presentation. The nature of presenting symptoms can critically influence the length of the diagnostic intervals from symptom onset to presentation (the patient interval), and from first presentation to specialist referral (the primary care interval). Understanding which symptoms are associated with longer diagnostic intervals to help the targeting of early diagnosis initiatives is an area of emerging research. In this Review, we consider the methodological challenges in studying the presenting symptoms and intervals to diagnosis of cancer patients, and summarize current evidence on presenting symptoms associated with a range of common and rarer cancer sites. We propose a taxonomy of cancer sites considering their symptom signature and the predictive value of common presenting symptoms. Finally, we consider evidence on associations between symptomatic presentations and intervals to diagnosis before discussing implications for the design, implementation, and evaluation of public health or health system interventions to achieve the earlier detection of cancer.

X Demographics

X Demographics

The data shown below were collected from the profiles of 17 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 128 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 128 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 25 20%
Other 11 9%
Student > Bachelor 11 9%
Student > Master 10 8%
Student > Doctoral Student 9 7%
Other 24 19%
Unknown 38 30%
Readers by discipline Count As %
Medicine and Dentistry 43 34%
Nursing and Health Professions 8 6%
Social Sciences 5 4%
Biochemistry, Genetics and Molecular Biology 4 3%
Computer Science 3 2%
Other 14 11%
Unknown 51 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 September 2023.
All research outputs
#1,928,088
of 25,382,440 outputs
Outputs from Neoplasia
#34
of 1,368 outputs
Outputs of similar age
#42,297
of 444,112 outputs
Outputs of similar age from Neoplasia
#2
of 18 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,368 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. 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 444,112 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 18 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.