You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Fish consumption and its possible preventive role on the development and prevalence of metabolic syndrome - a systematic review
|
|---|---|
| Published in |
Diabetology & Metabolic Syndrome, October 2014
|
| DOI | 10.1186/1758-5996-6-112 |
| Pubmed ID | |
| Authors |
Christine Tørris, Marianne Molin, Milada Cvancarova Småstuen |
| Abstract |
Metabolic syndrome (MetS) has a huge impact on public health, and today lifestyle interventions remain the primary mode for MetS therapy. It is therefore important to elucidate the possible preventive effects of diet and foods, and their MetS-related health implications. To examine how fish consumption affects the development and prevalence of MetS, we systematically reviewed cross-sectional, prospective cohort, and intervention studies conducted among adults (humans) and, reporting consumption of fish or seafood as being related to MetS (prevalence or incidence), where MetS was defined via an established definition. The literature search in PubMed identified 502 citations, and after screening, 49 full-text articles were retrieved and assessed for eligibility. After excluding duplicates and those not meeting the inclusion criteria, seven studies from Croatia, Finland, France, Iceland, Iran, Korea, and US were included. Four studies (one follow-up and three cross-sectional) found associations between fish consumption and MetS (three among men, and one among women), suggesting that fish consumption may prevent or improve metabolic health and have a protective role in MetS prevention. This protective role might be related to gender, and men may benefit more from the consumption of fish. However, lack of controlling for potential confounders may also inflict the results. Additional research is required to further explore fish consumption and its potential role in improving or reversing MetS and its components. |
X Demographics
The data shown below were collected from the profiles of 2 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 | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 1% |
| Nigeria | 1 | 1% |
| Unknown | 72 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 18% |
| Student > Master | 12 | 16% |
| Student > Bachelor | 6 | 8% |
| Researcher | 6 | 8% |
| Student > Postgraduate | 6 | 8% |
| Other | 16 | 22% |
| Unknown | 15 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 21 | 28% |
| Agricultural and Biological Sciences | 14 | 19% |
| Nursing and Health Professions | 7 | 9% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 4% |
| Sports and Recreations | 3 | 4% |
| Other | 6 | 8% |
| Unknown | 20 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 04 June 2015.
All research outputs
#15,307,723
of 22,766,595 outputs
Outputs from Diabetology & Metabolic Syndrome
#366
of 662 outputs
Outputs of similar age
#150,420
of 258,403 outputs
Outputs of similar age from Diabetology & Metabolic Syndrome
#3
of 15 outputs
Altmetric has tracked 22,766,595 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 662 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one is in the 35th percentile – i.e., 35% of its peers scored the same or lower than it.
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 258,403 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 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 66% of its contemporaries.