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The science of clinical practice: disease diagnosis or patient prognosis? Evidence about “what is likely to happen” should shape clinical practice

Overview of attention for article published in BMC Medicine, January 2015
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

twitter
123 tweeters
facebook
2 Facebook pages

Citations

dimensions_citation
60 Dimensions

Readers on

mendeley
174 Mendeley
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Title
The science of clinical practice: disease diagnosis or patient prognosis? Evidence about “what is likely to happen” should shape clinical practice
Published in
BMC Medicine, January 2015
DOI 10.1186/s12916-014-0265-4
Pubmed ID
Authors

Peter Croft, Douglas G Altman, Jonathan J Deeks, Kate M Dunn, Alastair D Hay, Harry Hemingway, Linda LeResche, George Peat, Pablo Perel, Steffen E Petersen, Richard D Riley, Ian Roberts, Michael Sharpe, Richard J Stevens, Danielle A Van Der Windt, Michael Von Korff, Adam Timmis

Abstract

Diagnosis is the traditional basis for decision-making in clinical practice. Evidence is often lacking about future benefits and harms of these decisions for patients diagnosed with and without disease. We propose that a model of clinical practice focused on patient prognosis and predicting the likelihood of future outcomes may be more useful.

Twitter Demographics

The data shown below were collected from the profiles of 123 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 174 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 4 2%
United States 2 1%
Spain 1 <1%
Mexico 1 <1%
Australia 1 <1%
France 1 <1%
Sri Lanka 1 <1%
Belgium 1 <1%
Netherlands 1 <1%
Other 0 0%
Unknown 161 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 34 20%
Student > Ph. D. Student 28 16%
Student > Master 24 14%
Other 21 12%
Student > Doctoral Student 14 8%
Other 53 30%
Readers by discipline Count As %
Medicine and Dentistry 91 52%
Unspecified 21 12%
Nursing and Health Professions 18 10%
Computer Science 10 6%
Social Sciences 6 3%
Other 28 16%

Attention Score in Context

This research output has an Altmetric Attention Score of 72. 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 23 July 2019.
All research outputs
#232,485
of 13,406,972 outputs
Outputs from BMC Medicine
#206
of 2,131 outputs
Outputs of similar age
#5,459
of 278,357 outputs
Outputs of similar age from BMC Medicine
#2
of 12 outputs
Altmetric has tracked 13,406,972 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,131 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 35.0. This one has done particularly well, scoring higher than 90% 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 278,357 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 98% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.