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What’s more general than a whole population?

Overview of attention for article published in Emerging Themes in Epidemiology, August 2015
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1 tweeter

Citations

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3 Dimensions

Readers on

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33 Mendeley
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Title
What’s more general than a whole population?
Published in
Emerging Themes in Epidemiology, August 2015
DOI 10.1186/s12982-015-0029-4
Pubmed ID
Authors

Neal Alexander

Abstract

Statistical inference is commonly said to be inapplicable to complete population studies, such as censuses, due to the absence of sampling variability. Nevertheless, in recent years, studies of whole populations, e.g., all cases of a certain cancer in a given country, have become more common, and often report p values and confidence intervals regardless of such concerns. With reference to the social science literature, the current paper explores the circumstances under which statistical inference can be meaningful for such studies. It concludes that its use implicitly requires a target population which is wider than the whole population studied - for example future cases, or a supranational geographic region - and that the validity of such statistical analysis depends on the generalizability of the whole to the target population.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 30%
Student > Ph. D. Student 7 21%
Student > Master 6 18%
Student > Postgraduate 2 6%
Professor 2 6%
Other 5 15%
Unknown 1 3%
Readers by discipline Count As %
Medicine and Dentistry 15 45%
Social Sciences 5 15%
Mathematics 2 6%
Economics, Econometrics and Finance 1 3%
Nursing and Health Professions 1 3%
Other 5 15%
Unknown 4 12%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 April 2016.
All research outputs
#3,890,951
of 7,534,762 outputs
Outputs from Emerging Themes in Epidemiology
#63
of 86 outputs
Outputs of similar age
#147,491
of 271,525 outputs
Outputs of similar age from Emerging Themes in Epidemiology
#2
of 3 outputs
Altmetric has tracked 7,534,762 research outputs across all sources so far. This one is in the 27th percentile – i.e., 27% of other outputs scored the same or lower than it.
So far Altmetric has tracked 86 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one is in the 12th percentile – i.e., 12% 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 271,525 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.