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Overview of attention for article published in Critical Care, January 2004
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

blogs
1 blog
twitter
4 tweeters
patent
1 patent
facebook
1 Facebook page
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
328 Dimensions

Readers on

mendeley
1270 Mendeley
citeulike
4 CiteULike
connotea
1 Connotea
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Title
Published in
Critical Care, January 2004
DOI 10.1186/cc2955
Pubmed ID
Authors

Viv Bewick, Liz Cheek, Jonathan Ball

Abstract

This review introduces methods of analyzing data arising from studies where the response variable is the length of time taken to reach a certain end-point, often death. The Kaplan-Meier methods, log rank test and Cox's proportional hazards model are described.

Twitter Demographics

The data shown below were collected from the profiles of 4 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 1,270 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 32 3%
Brazil 11 <1%
Canada 9 <1%
Germany 5 <1%
Netherlands 4 <1%
India 4 <1%
Spain 4 <1%
Sweden 4 <1%
Denmark 4 <1%
Other 38 3%
Unknown 1155 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 261 21%
Student > Ph. D. Student 242 19%
Student > Master 162 13%
Student > Bachelor 103 8%
Other 95 7%
Other 272 21%
Unknown 135 11%
Readers by discipline Count As %
Medicine and Dentistry 424 33%
Agricultural and Biological Sciences 219 17%
Biochemistry, Genetics and Molecular Biology 89 7%
Engineering 43 3%
Computer Science 42 3%
Other 277 22%
Unknown 176 14%

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 11 June 2020.
All research outputs
#1,533,400
of 22,681,577 outputs
Outputs from Critical Care
#1,382
of 6,032 outputs
Outputs of similar age
#3,242
of 132,885 outputs
Outputs of similar age from Critical Care
#10
of 60 outputs
Altmetric has tracked 22,681,577 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,032 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.0. This one has done well, scoring higher than 77% 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 132,885 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 97% of its contemporaries.
We're also able to compare this research output to 60 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.