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Development of an algorithm for evaluating the impact of measurement variability on response categorization in oncology trials

Overview of attention for article published in BMC Medical Research Methodology, May 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (75th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

Mentioned by

blogs
1 blog
twitter
1 X user

Readers on

mendeley
15 Mendeley
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Title
Development of an algorithm for evaluating the impact of measurement variability on response categorization in oncology trials
Published in
BMC Medical Research Methodology, May 2019
DOI 10.1186/s12874-019-0727-7
Pubmed ID
Authors

Jeong-Hwa Yoon, Soon Ho Yoon, Seokyung Hahn

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 20%
Student > Ph. D. Student 2 13%
Student > Master 2 13%
Student > Bachelor 1 7%
Professor > Associate Professor 1 7%
Other 1 7%
Unknown 5 33%
Readers by discipline Count As %
Medicine and Dentistry 4 27%
Nursing and Health Professions 2 13%
Psychology 1 7%
Agricultural and Biological Sciences 1 7%
Sports and Recreations 1 7%
Other 1 7%
Unknown 5 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 03 May 2019.
All research outputs
#4,149,314
of 23,144,579 outputs
Outputs from BMC Medical Research Methodology
#679
of 2,039 outputs
Outputs of similar age
#85,320
of 350,408 outputs
Outputs of similar age from BMC Medical Research Methodology
#26
of 58 outputs
Altmetric has tracked 23,144,579 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,039 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one has gotten more attention than average, scoring higher than 66% 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 350,408 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 58 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 53% of its contemporaries.