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The healthy ageing gene expression signature for Alzheimer’s disease diagnosis: a random sampling perspective

Overview of attention for article published in Genome Biology (Online Edition), July 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)

Mentioned by

news
1 news outlet
twitter
41 tweeters

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
27 Mendeley
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Title
The healthy ageing gene expression signature for Alzheimer’s disease diagnosis: a random sampling perspective
Published in
Genome Biology (Online Edition), July 2018
DOI 10.1186/s13059-018-1481-6
Pubmed ID
Authors

Laurent Jacob, Terence P. Speed

Abstract

In a recent publication, Sood et al. (Genome Biol 16:185, 2015) presented a set of 150 probe sets that could be used in the diagnosis of Alzheimer's disease (AD) based on gene expression. We reproduce some of their experiments and show that their signature is indeed able to discriminate between AD and control patients using blood gene expression in two cohorts. We also show that its performance does not stand out compared to randomly sampled sets of 150 probe sets from the same array.

Twitter Demographics

The data shown below were collected from the profiles of 41 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 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 4%
Unknown 26 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 30%
Student > Ph. D. Student 5 19%
Other 3 11%
Student > Doctoral Student 2 7%
Librarian 1 4%
Other 3 11%
Unknown 5 19%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 19%
Medicine and Dentistry 4 15%
Agricultural and Biological Sciences 3 11%
Mathematics 2 7%
Nursing and Health Professions 2 7%
Other 4 15%
Unknown 7 26%

Attention Score in Context

This research output has an Altmetric Attention Score of 33. 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 06 September 2019.
All research outputs
#662,138
of 15,791,413 outputs
Outputs from Genome Biology (Online Edition)
#613
of 3,390 outputs
Outputs of similar age
#20,981
of 278,983 outputs
Outputs of similar age from Genome Biology (Online Edition)
#1
of 1 outputs
Altmetric has tracked 15,791,413 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,390 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.5. This one has done well, scoring higher than 81% 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 278,983 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 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