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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Blood‐based metabolic signatures in Alzheimer's disease
|
|---|---|
| Published in |
Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring, September 2017
|
| DOI | 10.1016/j.dadm.2017.07.006 |
| Pubmed ID | |
| Authors |
Francisca A. de Leeuw, Carel F.W. Peeters, Maartje I. Kester, Amy C. Harms, Eduard A. Struys, Thomas Hankemeier, Herman W.T. van Vlijmen, Sven J. van der Lee, Cornelia M. van Duijn, Philip Scheltens, Ayşe Demirkan, Mark A. van de Wiel, Wiesje M. van der Flier, Charlotte E. Teunissen |
| Abstract |
Identification of blood-based metabolic changes might provide early and easy-to-obtain biomarkers. We included 127 Alzheimer's disease (AD) patients and 121 control subjects with cerebrospinal fluid biomarker-confirmed diagnosis (cutoff tau/amyloid β peptide 42: 0.52). Mass spectrometry platforms determined the concentrations of 53 amine compounds, 22 organic acid compounds, 120 lipid compounds, and 40 oxidative stress compounds. Multiple signatures were assessed: differential expression (nested linear models), classification (logistic regression), and regulatory (network extraction). Twenty-six metabolites were differentially expressed. Metabolites improved the classification performance of clinical variables from 74% to 79%. Network models identified five hubs of metabolic dysregulation: tyrosine, glycylglycine, glutamine, lysophosphatic acid C18:2, and platelet-activating factor C16:0. The metabolite network for apolipoprotein E (APOE) ε4 negative AD patients was less cohesive compared with the network for APOE ε4 positive AD patients. Multiple signatures point to various promising peripheral markers for further validation. The network differences in AD patients according to APOE genotype may reflect different pathways to AD. |
X Demographics
The data shown below were collected from the profiles of 14 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 | 21% |
| Australia | 2 | 14% |
| Spain | 1 | 7% |
| Brazil | 1 | 7% |
| United Kingdom | 1 | 7% |
| Unknown | 6 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 43% |
| Scientists | 6 | 43% |
| Practitioners (doctors, other healthcare professionals) | 2 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 127 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 127 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 24 | 19% |
| Student > Ph. D. Student | 18 | 14% |
| Student > Bachelor | 12 | 9% |
| Student > Master | 12 | 9% |
| Other | 6 | 5% |
| Other | 10 | 8% |
| Unknown | 45 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 15 | 12% |
| Biochemistry, Genetics and Molecular Biology | 14 | 11% |
| Agricultural and Biological Sciences | 11 | 9% |
| Neuroscience | 10 | 8% |
| Chemistry | 7 | 6% |
| Other | 21 | 17% |
| Unknown | 49 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 25. 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 22 September 2022.
All research outputs
#1,553,700
of 25,477,125 outputs
Outputs from Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring
#89
of 853 outputs
Outputs of similar age
#30,158
of 323,449 outputs
Outputs of similar age from Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring
#2
of 12 outputs
Altmetric has tracked 25,477,125 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 853 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.6. This one has done well, scoring higher than 89% 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 323,449 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 90% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.