| Title |
Association between alcohol consumption and amyotrophic lateral sclerosis: a meta-analysis of five observational studies
|
|---|---|
| Published in |
Neurological Sciences, April 2016
|
| DOI | 10.1007/s10072-016-2575-0 |
| Pubmed ID | |
| Authors |
Meng E, Sufang Yu, Jianrui Dou, Wu Jin, Xiang Cai, Yiyang Mao, Daojian Zhu, Rumei Yang |
| Abstract |
The purpose of this study is to examine the association between alcohol consumption and amyotrophic lateral sclerosis. Published literature on the association between alcohol consumption and amyotrophic lateral sclerosis was retrieved from the PubMed and Embase databases. Two authors independently extracted the data. The quality of the identified studies was evaluated according to the Newcastle-Ottawa scale. Subgroup and sensitivity analyses were performed and publication bias was assessed. Five articles, including one cohort study and seven case-control studies, and a total of 431,943 participants, were identified. The odds ratio for the association between alcohol consumption and amyotrophic lateral sclerosis was 0.57 (95 % confidence interval 0.51-0.64). Subgroup and sensitivity analyses confirmed the result. Evidence for publication bias was detected. Alcohol consumption reduced the risk of developing amyotrophic lateral sclerosis compared with non-drinking. Alcohol, therefore, has a potentially neuroprotective effect on the development of amyotrophic lateral sclerosis. |
X Demographics
The data shown below were collected from the profiles of 4 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 | 1 | 25% |
| Germany | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 34 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 6 | 18% |
| Student > Ph. D. Student | 5 | 15% |
| Student > Bachelor | 2 | 6% |
| Researcher | 2 | 6% |
| Student > Postgraduate | 2 | 6% |
| Other | 4 | 12% |
| Unknown | 13 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 5 | 15% |
| Medicine and Dentistry | 4 | 12% |
| Neuroscience | 4 | 12% |
| Social Sciences | 2 | 6% |
| Agricultural and Biological Sciences | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 15 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 03 August 2018.
All research outputs
#3,107,793
of 25,986,827 outputs
Outputs from Neurological Sciences
#6
of 6 outputs
Outputs of similar age
#46,416
of 315,151 outputs
Outputs of similar age from Neurological Sciences
#1
of 8 outputs
Altmetric has tracked 25,986,827 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6 research outputs from this source. They receive a mean Attention Score of 3.0. This one scored the same or higher as 0 of them.
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