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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Application of Metabolomics in Alzheimer’s Disease
|
|---|---|
| Published in |
Frontiers in Neurology, January 2018
|
| DOI | 10.3389/fneur.2017.00719 |
| Pubmed ID | |
| Authors |
Jordan Maximillian Wilkins, Eugenia Trushina |
| Abstract |
Progress toward the development of efficacious therapies for Alzheimer's disease (AD) is halted by a lack of understanding early underlying pathological mechanisms. Systems biology encompasses several techniques including genomics, epigenomics, transcriptomics, proteomics, and metabolomics. Metabolomics is the newest omics platform that offers great potential for the diagnosis and prognosis of neurodegenerative diseases as an individual's metabolome reflects alterations in genetic, transcript, and protein profiles and influences from the environment. Advancements in the field of metabolomics have demonstrated the complexity of dynamic changes associated with AD progression underscoring challenges with the development of efficacious therapeutic interventions. Defining systems-level alterations in AD could provide insights into disease mechanisms, reveal sex-specific changes, advance the development of biomarker panels, and aid in monitoring therapeutic efficacy, which should advance individualized medicine. Since metabolic pathways are largely conserved between species, metabolomics could improve the translation of preclinical research conducted in animal models of AD into humans. A summary of recent developments in the application of metabolomics to advance the AD field is provided below. |
X Demographics
The data shown below were collected from the profiles of 53 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Chile | 6 | 11% |
| United States | 4 | 8% |
| Argentina | 3 | 6% |
| Switzerland | 3 | 6% |
| Venezuela, Bolivarian Republic of | 2 | 4% |
| India | 2 | 4% |
| Zimbabwe | 1 | 2% |
| Algeria | 1 | 2% |
| Brazil | 1 | 2% |
| Other | 5 | 9% |
| Unknown | 25 | 47% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 42 | 79% |
| Scientists | 6 | 11% |
| Practitioners (doctors, other healthcare professionals) | 3 | 6% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
| Unknown | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 309 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 309 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 54 | 17% |
| Researcher | 47 | 15% |
| Student > Master | 38 | 12% |
| Student > Bachelor | 30 | 10% |
| Other | 19 | 6% |
| Other | 32 | 10% |
| Unknown | 89 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 57 | 18% |
| Neuroscience | 36 | 12% |
| Agricultural and Biological Sciences | 24 | 8% |
| Medicine and Dentistry | 20 | 6% |
| Chemistry | 18 | 6% |
| Other | 49 | 16% |
| Unknown | 105 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 37. 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 16 January 2024.
All research outputs
#1,112,477
of 25,721,020 outputs
Outputs from Frontiers in Neurology
#363
of 14,768 outputs
Outputs of similar age
#25,499
of 453,227 outputs
Outputs of similar age from Frontiers in Neurology
#4
of 211 outputs
Altmetric has tracked 25,721,020 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 14,768 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.5. This one has done particularly well, scoring higher than 97% 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 453,227 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 94% of its contemporaries.
We're also able to compare this research output to 211 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.