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An inverse stage‐shift model to estimate the excess mortality and health economic impact of delayed access to cancer services due to the COVID‐19 pandemic

Overview of attention for article published in Asia Pacific Journal of Clinical Oncology, February 2021
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#4 of 556)
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

news
5 news outlets
policy
1 policy source
twitter
9 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
51 Dimensions

Readers on

mendeley
123 Mendeley
Title
An inverse stage‐shift model to estimate the excess mortality and health economic impact of delayed access to cancer services due to the COVID‐19 pandemic
Published in
Asia Pacific Journal of Clinical Oncology, February 2021
DOI 10.1111/ajco.13505
Pubmed ID
Authors

Koen Degeling, Nancy N. Baxter, Jon Emery, Mark A. Jenkins, Fanny Franchini, Peter Gibbs, G. Bruce Mann, Grant McArthur, Benjamin J. Solomon, Maarten J. IJzerman

Twitter Demographics

The data shown below were collected from the profiles of 9 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 123 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 123 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 14%
Student > Master 16 13%
Other 13 11%
Student > Ph. D. Student 8 7%
Student > Bachelor 8 7%
Other 16 13%
Unknown 45 37%
Readers by discipline Count As %
Medicine and Dentistry 42 34%
Nursing and Health Professions 9 7%
Economics, Econometrics and Finance 3 2%
Social Sciences 3 2%
Agricultural and Biological Sciences 2 2%
Other 15 12%
Unknown 49 40%

Attention Score in Context

This research output has an Altmetric Attention Score of 42. 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 May 2022.
All research outputs
#856,432
of 23,281,392 outputs
Outputs from Asia Pacific Journal of Clinical Oncology
#4
of 556 outputs
Outputs of similar age
#26,486
of 513,567 outputs
Outputs of similar age from Asia Pacific Journal of Clinical Oncology
#1
of 21 outputs
Altmetric has tracked 23,281,392 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 556 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done particularly well, scoring higher than 99% 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 513,567 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 94% of its contemporaries.
We're also able to compare this research output to 21 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 95% of its contemporaries.