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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A data-driven approach links microglia to pathology and prognosis in amyotrophic lateral sclerosis
|
|---|---|
| Published in |
Acta Neuropathologica Communications, March 2017
|
| DOI | 10.1186/s40478-017-0424-x |
| Pubmed ID | |
| Authors |
Johnathan Cooper-Knock, Claire Green, Gabriel Altschuler, Wenbin Wei, Joanna J. Bury, Paul R. Heath, Matthew Wyles, Catherine Gelsthorpe, J. Robin Highley, Alejandro Lorente-Pons, Tim Beck, Kathryn Doyle, Karel Otero, Bryan Traynor, Janine Kirby, Pamela J. Shaw, Winston Hide |
| Abstract |
Amyotrophic lateral sclerosis (ALS) is a devastating neurodegenerative disease that lacks a predictive and broadly applicable biomarker. Continued focus on mutation-specific upstream mechanisms has yet to predict disease progression in the clinic. Utilising cellular pathology common to the majority of ALS patients, we implemented an objective transcriptome-driven approach to develop noninvasive prognostic biomarkers for disease progression. Genes expressed in laser captured motor neurons in direct correlation (Spearman rank correlation, p < 0.01) with counts of neuropathology were developed into co-expression network modules. Screening modules using three gene sets representing rate of disease progression and upstream genetic association with ALS led to the prioritisation of a single module enriched for immune response to motor neuron degeneration. Genes in the network module are important for microglial activation and predict disease progression in genetically heterogeneous ALS cohorts: Expression of three genes in peripheral lymphocytes - LILRA2, ITGB2 and CEBPD - differentiate patients with rapid and slowly progressive disease, suggesting promise as a blood-derived biomarker. TREM2 is a member of the network module and the level of soluble TREM2 protein in cerebrospinal fluid is shown to predict survival when measured in late stage disease (Spearman rank correlation, p = 0.01). Our data-driven systems approach has, for the first time, directly linked microglia to the development of motor neuron pathology. LILRA2, ITGB2 and CEBPD represent peripherally accessible candidate biomarkers and TREM2 provides a broadly applicable therapeutic target for ALS. |
X Demographics
The data shown below were collected from the profiles of 22 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 Kingdom | 7 | 32% |
| United States | 2 | 9% |
| Switzerland | 2 | 9% |
| Unknown | 11 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 16 | 73% |
| Scientists | 6 | 27% |
Mendeley readers
The data shown below were compiled from readership statistics for 108 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | <1% |
| Unknown | 107 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 24 | 22% |
| Student > Ph. D. Student | 23 | 21% |
| Student > Bachelor | 12 | 11% |
| Student > Doctoral Student | 10 | 9% |
| Student > Master | 8 | 7% |
| Other | 11 | 10% |
| Unknown | 20 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 30 | 28% |
| Medicine and Dentistry | 18 | 17% |
| Biochemistry, Genetics and Molecular Biology | 14 | 13% |
| Agricultural and Biological Sciences | 5 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 5 | 5% |
| Other | 14 | 13% |
| Unknown | 22 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 26. 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 30 October 2017.
All research outputs
#1,306,655
of 23,310,485 outputs
Outputs from Acta Neuropathologica Communications
#98
of 1,411 outputs
Outputs of similar age
#27,911
of 309,212 outputs
Outputs of similar age from Acta Neuropathologica Communications
#1
of 21 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,411 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.8. This one has done particularly well, scoring higher than 93% 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 309,212 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 21 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 99% of its contemporaries.