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Analysis of human immune responses in quasi-experimental settings: tutorial in biostatistics

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

  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

twitter
3 tweeters

Citations

dimensions_citation
63 Dimensions

Readers on

mendeley
26 Mendeley
citeulike
3 CiteULike
Title
Analysis of human immune responses in quasi-experimental settings: tutorial in biostatistics
Published in
BMC Medical Research Methodology, January 2012
DOI 10.1186/1471-2288-12-1
Pubmed ID
Authors

Rajiv Sarkar, Sitara S Ajjampur, Honorine D Ward, Gagandeep Kang, Elena N Naumova

Abstract

Human immunology is a growing field of research in which experimental, clinical, and analytical methods of many life science disciplines are utilized. Classic epidemiological study designs, including observational longitudinal birth cohort studies, offer strong potential for gaining new knowledge and insights into immune response to pathogens in humans. However, rigorous discussion of methodological issues related to designs and statistical analysis that are appropriate for longitudinal studies is lacking.

Twitter Demographics

The data shown below were collected from the profiles of 3 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 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 4%
Unknown 25 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 27%
Professor 5 19%
Student > Ph. D. Student 5 19%
Unspecified 4 15%
Student > Master 3 12%
Other 2 8%
Readers by discipline Count As %
Medicine and Dentistry 8 31%
Unspecified 4 15%
Immunology and Microbiology 3 12%
Biochemistry, Genetics and Molecular Biology 2 8%
Agricultural and Biological Sciences 1 4%
Other 8 31%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 05 February 2012.
All research outputs
#7,141,564
of 12,373,180 outputs
Outputs from BMC Medical Research Methodology
#694
of 1,095 outputs
Outputs of similar age
#102,898
of 223,836 outputs
Outputs of similar age from BMC Medical Research Methodology
#6
of 18 outputs
Altmetric has tracked 12,373,180 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,095 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.5. This one is in the 33rd percentile – i.e., 33% 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 223,836 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 51% of its contemporaries.
We're also able to compare this research output to 18 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 61% of its contemporaries.