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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The Mount Sinai cohort of large-scale genomic, transcriptomic and proteomic data in Alzheimer's disease
|
|---|---|
| Published in |
Scientific Data, September 2018
|
| DOI | 10.1038/sdata.2018.185 |
| Pubmed ID | |
| Authors |
Minghui Wang, Noam D. Beckmann, Panos Roussos, Erming Wang, Xianxiao Zhou, Qian Wang, Chen Ming, Ryan Neff, Weiping Ma, John F. Fullard, Mads E. Hauberg, Jaroslav Bendl, Mette A. Peters, Ben Logsdon, Pei Wang, Milind Mahajan, Lara M. Mangravite, Eric B. Dammer, Duc M. Duong, James J. Lah, Nicholas T. Seyfried, Allan I. Levey, Joseph D. Buxbaum, Michelle Ehrlich, Sam Gandy, Pavel Katsel, Vahram Haroutunian, Eric Schadt, Bin Zhang |
| Abstract |
Alzheimer's disease (AD) affects half the US population over the age of 85 and is universally fatal following an average course of 10 years of progressive cognitive disability. Genetic and genome-wide association studies (GWAS) have identified about 33 risk factor genes for common, late-onset AD (LOAD), but these risk loci fail to account for the majority of affected cases and can neither provide clinically meaningful prediction of development of AD nor offer actionable mechanisms. This cohort study generated large-scale matched multi-Omics data in AD and control brains for exploring novel molecular underpinnings of AD. Specifically, we generated whole genome sequencing, whole exome sequencing, transcriptome sequencing and proteome profiling data from multiple regions of 364 postmortem control, mild cognitive impaired (MCI) and AD brains with rich clinical and pathophysiological data. All the data went through rigorous quality control. Both the raw and processed data are publicly available through the Synapse software platform. |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Finland | 1 | 14% |
| United States | 1 | 14% |
| United Kingdom | 1 | 14% |
| Unknown | 4 | 57% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 71% |
| Scientists | 2 | 29% |
Mendeley readers
The data shown below were compiled from readership statistics for 267 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 267 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 56 | 21% |
| Student > Ph. D. Student | 41 | 15% |
| Student > Bachelor | 19 | 7% |
| Other | 18 | 7% |
| Student > Master | 17 | 6% |
| Other | 40 | 15% |
| Unknown | 76 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 57 | 21% |
| Agricultural and Biological Sciences | 29 | 11% |
| Neuroscience | 27 | 10% |
| Medicine and Dentistry | 11 | 4% |
| Computer Science | 10 | 4% |
| Other | 41 | 15% |
| Unknown | 92 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 19 December 2018.
All research outputs
#2,554,095
of 25,457,858 outputs
Outputs from Scientific Data
#999
of 3,350 outputs
Outputs of similar age
#51,040
of 347,981 outputs
Outputs of similar age from Scientific Data
#24
of 71 outputs
Altmetric has tracked 25,457,858 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,350 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.0. This one has gotten more attention than average, scoring higher than 70% 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 347,981 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 85% of its contemporaries.
We're also able to compare this research output to 71 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 67% of its contemporaries.