You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
Title |
The healthy ageing gene expression signature for Alzheimer’s disease diagnosis: a random sampling perspective
|
---|---|
Published in |
Genome Biology, 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. |
X Demographics
The data shown below were collected from the profiles of 38 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 9 | 24% |
United Kingdom | 8 | 21% |
France | 2 | 5% |
Ireland | 2 | 5% |
Italy | 2 | 5% |
Australia | 1 | 3% |
Denmark | 1 | 3% |
India | 1 | 3% |
Qatar | 1 | 3% |
Other | 0 | 0% |
Unknown | 11 | 29% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 25 | 66% |
Members of the public | 12 | 32% |
Practitioners (doctors, other healthcare professionals) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 3% |
Unknown | 33 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 7 | 21% |
Student > Ph. D. Student | 4 | 12% |
Other | 3 | 9% |
Student > Doctoral Student | 2 | 6% |
Professor | 2 | 6% |
Other | 5 | 15% |
Unknown | 11 | 32% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 5 | 15% |
Medicine and Dentistry | 4 | 12% |
Agricultural and Biological Sciences | 3 | 9% |
Mathematics | 2 | 6% |
Neuroscience | 2 | 6% |
Other | 6 | 18% |
Unknown | 12 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 31. 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 09 August 2018.
All research outputs
#1,260,644
of 25,385,509 outputs
Outputs from Genome Biology
#955
of 4,468 outputs
Outputs of similar age
#26,443
of 341,271 outputs
Outputs of similar age from Genome Biology
#22
of 51 outputs
Altmetric has tracked 25,385,509 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 4,468 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has done well, scoring higher than 78% 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 341,271 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 51 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 56% of its contemporaries.