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Individual patient data meta-analysis of survival data using Poisson regression models

Overview of attention for article published in BMC Medical Research Methodology, March 2012
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (57th percentile)

Mentioned by

twitter
5 tweeters

Citations

dimensions_citation
30 Dimensions

Readers on

mendeley
80 Mendeley
Title
Individual patient data meta-analysis of survival data using Poisson regression models
Published in
BMC Medical Research Methodology, March 2012
DOI 10.1186/1471-2288-12-34
Authors

Michael J Crowther, Richard D Riley, Jan A Staessen, Jiguang Wang, Francois Gueyffier, Paul C Lambert

Twitter Demographics

The data shown below were collected from the profiles of 5 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 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 4%
France 2 3%
Japan 2 3%
United Kingdom 1 1%
Malaysia 1 1%
Canada 1 1%
Netherlands 1 1%
Portugal 1 1%
Unknown 68 85%

Demographic breakdown

Readers by professional status Count As %
Researcher 26 33%
Student > Ph. D. Student 16 20%
Professor > Associate Professor 9 11%
Other 4 5%
Professor 4 5%
Other 16 20%
Unknown 5 6%
Readers by discipline Count As %
Medicine and Dentistry 28 35%
Mathematics 14 18%
Engineering 4 5%
Agricultural and Biological Sciences 4 5%
Social Sciences 3 4%
Other 15 19%
Unknown 12 15%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 15 August 2018.
All research outputs
#6,877,888
of 13,376,849 outputs
Outputs from BMC Medical Research Methodology
#666
of 1,241 outputs
Outputs of similar age
#51,599
of 120,870 outputs
Outputs of similar age from BMC Medical Research Methodology
#1
of 1 outputs
Altmetric has tracked 13,376,849 research outputs across all sources so far. This one is in the 48th percentile – i.e., 48% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,241 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.7. This one is in the 45th percentile – i.e., 45% 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 120,870 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them