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The role of longitudinal cohort studies in epigenetic epidemiology: challenges and opportunities

Overview of attention for article published in Genome Biology, June 2012
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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 (86th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

Mentioned by

blogs
1 blog
twitter
5 X users

Readers on

mendeley
102 Mendeley
citeulike
1 CiteULike
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Title
The role of longitudinal cohort studies in epigenetic epidemiology: challenges and opportunities
Published in
Genome Biology, June 2012
DOI 10.1186/gb-2012-13-6-246
Pubmed ID
Authors

Jane WY Ng, Laura M Barrett, Andrew Wong, Diana Kuh, George Davey Smith, Caroline L Relton

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users 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 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 7%
New Zealand 1 <1%
United Kingdom 1 <1%
Unknown 93 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 26 25%
Student > Ph. D. Student 23 23%
Professor > Associate Professor 9 9%
Student > Master 8 8%
Student > Bachelor 7 7%
Other 14 14%
Unknown 15 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 21 21%
Medicine and Dentistry 19 19%
Biochemistry, Genetics and Molecular Biology 12 12%
Psychology 9 9%
Computer Science 3 3%
Other 15 15%
Unknown 23 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 07 October 2013.
All research outputs
#3,585,431
of 25,374,647 outputs
Outputs from Genome Biology
#2,469
of 4,467 outputs
Outputs of similar age
#23,201
of 177,478 outputs
Outputs of similar age from Genome Biology
#20
of 44 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 44th percentile – i.e., 44% 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 177,478 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.