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Bias Due to Left Truncation and Left Censoring in Longitudinal Studies of Developmental and Disease Processes

Overview of attention for article published in American Journal of Epidemiology, March 2011
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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 (92nd percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

blogs
2 blogs
twitter
1 X user
googleplus
1 Google+ user
q&a
1 Q&A thread

Citations

dimensions_citation
146 Dimensions

Readers on

mendeley
160 Mendeley
citeulike
3 CiteULike
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Title
Bias Due to Left Truncation and Left Censoring in Longitudinal Studies of Developmental and Disease Processes
Published in
American Journal of Epidemiology, March 2011
DOI 10.1093/aje/kwq481
Pubmed ID
Authors

Kevin C Cain, Siobán D Harlow, Roderick J Little, Bin Nan, Matheos Yosef, John R Taffe, Michael R Elliott

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 160 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
Sweden 1 <1%
Netherlands 1 <1%
Japan 1 <1%
United Kingdom 1 <1%
Unknown 153 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 34 21%
Student > Ph. D. Student 29 18%
Student > Master 20 13%
Other 14 9%
Student > Doctoral Student 13 8%
Other 24 15%
Unknown 26 16%
Readers by discipline Count As %
Medicine and Dentistry 48 30%
Mathematics 14 9%
Agricultural and Biological Sciences 13 8%
Social Sciences 11 7%
Psychology 9 6%
Other 28 18%
Unknown 37 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 10 February 2022.
All research outputs
#2,256,714
of 25,998,826 outputs
Outputs from American Journal of Epidemiology
#1,541
of 9,146 outputs
Outputs of similar age
#9,377
of 124,141 outputs
Outputs of similar age from American Journal of Epidemiology
#15
of 60 outputs
Altmetric has tracked 25,998,826 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,146 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.0. This one has done well, scoring higher than 83% 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 124,141 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 92% 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 75% of its contemporaries.