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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Human whole genome genotype and transcriptome data for Alzheimer’s and other neurodegenerative diseases
|
|---|---|
| Published in |
Scientific Data, October 2016
|
| DOI | 10.1038/sdata.2016.89 |
| Pubmed ID | |
| Authors |
Mariet Allen, Minerva M. Carrasquillo, Cory Funk, Benjamin D. Heavner, Fanggeng Zou, Curtis S. Younkin, Jeremy D. Burgess, High-Seng Chai, Julia Crook, James A. Eddy, Hongdong Li, Ben Logsdon, Mette A. Peters, Kristen K. Dang, Xue Wang, Daniel Serie, Chen Wang, Thuy Nguyen, Sarah Lincoln, Kimberly Malphrus, Gina Bisceglio, Ma Li, Todd E. Golde, Lara M. Mangravite, Yan Asmann, Nathan D. Price, Ronald C. Petersen, Neill R. Graff-Radford, Dennis W. Dickson, Steven G. Younkin, Nilüfer Ertekin-Taner |
| Abstract |
Previous genome-wide association studies (GWAS), conducted by our group and others, have identified loci that harbor risk variants for neurodegenerative diseases, including Alzheimer's disease (AD). Human disease variants are enriched for polymorphisms that affect gene expression, including some that are known to associate with expression changes in the brain. Postulating that many variants confer risk to neurodegenerative disease via transcriptional regulatory mechanisms, we have analyzed gene expression levels in the brain tissue of subjects with AD and related diseases. Herein, we describe our collective datasets comprised of GWAS data from 2,099 subjects; microarray gene expression data from 773 brain samples, 186 of which also have RNAseq; and an independent cohort of 556 brain samples with RNAseq. We expect that these datasets, which are available to all qualified researchers, will enable investigators to explore and identify transcriptional mechanisms contributing to neurodegenerative diseases. |
X Demographics
The data shown below were collected from the profiles of 10 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 | 3 | 30% |
| France | 1 | 10% |
| United Kingdom | 1 | 10% |
| Germany | 1 | 10% |
| Unknown | 4 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 80% |
| Scientists | 2 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 273 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 1% |
| France | 1 | <1% |
| Italy | 1 | <1% |
| Unknown | 267 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 59 | 22% |
| Student > Ph. D. Student | 52 | 19% |
| Student > Bachelor | 23 | 8% |
| Student > Master | 19 | 7% |
| Professor > Associate Professor | 14 | 5% |
| Other | 47 | 17% |
| Unknown | 59 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 60 | 22% |
| Agricultural and Biological Sciences | 49 | 18% |
| Neuroscience | 41 | 15% |
| Computer Science | 17 | 6% |
| Medicine and Dentistry | 13 | 5% |
| Other | 25 | 9% |
| Unknown | 68 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 12 April 2017.
All research outputs
#1,977,951
of 23,746,606 outputs
Outputs from Scientific Data
#767
of 2,679 outputs
Outputs of similar age
#35,903
of 322,300 outputs
Outputs of similar age from Scientific Data
#10
of 32 outputs
Altmetric has tracked 23,746,606 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,679 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 24.1. This one has gotten more attention than average, scoring higher than 71% 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 322,300 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 88% of its contemporaries.
We're also able to compare this research output to 32 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 71% of its contemporaries.