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Approaches for classifying the indications for colonoscopy using detailed clinical data

Overview of attention for article published in BMC Cancer, February 2014
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1 tweeter

Citations

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Readers on

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27 Mendeley
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Title
Approaches for classifying the indications for colonoscopy using detailed clinical data
Published in
BMC Cancer, February 2014
DOI 10.1186/1471-2407-14-95
Pubmed ID
Authors

Hirut Fassil, Kenneth F Adams, Sheila Weinmann, V Paul Doria-Rose, Eric Johnson, Andrew E Williams, Douglas A Corley, Chyke A Doubeni

Abstract

Accurate indication classification is critical for obtaining unbiased estimates of colonoscopy effectiveness and quality improvement efforts, but there is a dearth of published systematic classification approaches. The objective of this study was to evaluate the effects of data-source and adjudication on indication classification and on estimates of the effectiveness of screening colonoscopy on late-stage colorectal cancer diagnosis risk.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 15%
Other 3 11%
Student > Master 3 11%
Researcher 2 7%
Student > Postgraduate 2 7%
Other 7 26%
Unknown 6 22%
Readers by discipline Count As %
Medicine and Dentistry 12 44%
Nursing and Health Professions 2 7%
Psychology 2 7%
Economics, Econometrics and Finance 1 4%
Computer Science 1 4%
Other 2 7%
Unknown 7 26%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 16 February 2014.
All research outputs
#9,905,837
of 12,372,945 outputs
Outputs from BMC Cancer
#3,022
of 4,558 outputs
Outputs of similar age
#128,842
of 189,566 outputs
Outputs of similar age from BMC Cancer
#22
of 36 outputs
Altmetric has tracked 12,372,945 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,558 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 18th percentile – i.e., 18% of its peers scored the same or lower than it.
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 189,566 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.