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X Demographics
Mendeley readers
Attention Score in Context
| Title |
InsuTAG: A novel physiologically relevant predictor for insulin resistance and metabolic syndrome
|
|---|---|
| Published in |
Scientific Reports, November 2017
|
| DOI | 10.1038/s41598-017-15460-z |
| Pubmed ID | |
| Authors |
Rohith N. Thota, Kylie A. Abbott, Jessica J. A. Ferguson, Martin Veysey, Mark Lucock, Suzanne Niblett, Katrina King, Manohar L. Garg |
| Abstract |
The aim of this study was to investigate whether a novel physiologically relevant marker, InsuTAG (fasting insulin × fasting triglycerides) can predict insulin resistance (IR) and metabolic syndrome (MetS). Data of 618 participants from the Retirement Health and Lifestyle Study (RHLS) were evaluated for the current study. IR was defined by homeostatic model assessment (HOMA-IR) scores. Pearson correlations were used to examine the associations of InsuTAG with HOMA-IR and other markers. Predictions of IR from InsuTAG were evaluated using multiple regression models. Receiver operating characteristic curves (ROC) were constructed to measure the sensitivity and specificity of InsuTAG values and to determine the optimum cut-off point for prediction of IR. InsuTAG was positively correlated with HOMA-IR (r = 0.86; p < 0.0001). InsuTAG is a strong predictor of IR accounting for 65.0% of the variation in HOMA-IR values after adjusting for potential confounders. Areas under the ROC curve showed that InsuTAG (0.93) has higher value than other known lipid markers for predicting IR, with a sensitivity and specificity of 84.15% and 86.88%. Prevalence of MetS was significantly (p < 0.0001) higher in subjects with InsuTAG values greater than optimal cut-off value of 11.2. Thus, InsuTAG appears to be a potential feasible marker of IR and metabolic syndrome. |
X Demographics
The data shown below were collected from the profiles of 29 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 8 | 28% |
| United States | 2 | 7% |
| Argentina | 1 | 3% |
| Brazil | 1 | 3% |
| Spain | 1 | 3% |
| United Kingdom | 1 | 3% |
| Saudi Arabia | 1 | 3% |
| Canada | 1 | 3% |
| Mexico | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 12 | 41% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 17 | 59% |
| Scientists | 8 | 28% |
| Practitioners (doctors, other healthcare professionals) | 4 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 21 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 3 | 14% |
| Other | 2 | 10% |
| Professor | 2 | 10% |
| Student > Master | 2 | 10% |
| Researcher | 2 | 10% |
| Other | 0 | 0% |
| Unknown | 10 | 48% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 5 | 24% |
| Biochemistry, Genetics and Molecular Biology | 1 | 5% |
| Physics and Astronomy | 1 | 5% |
| Agricultural and Biological Sciences | 1 | 5% |
| Unknown | 13 | 62% |
Attention Score in Context
This research output has an Altmetric Attention Score of 21. 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 01 March 2018.
All research outputs
#1,810,387
of 25,728,855 outputs
Outputs from Scientific Reports
#16,819
of 142,667 outputs
Outputs of similar age
#35,550
of 343,679 outputs
Outputs of similar age from Scientific Reports
#529
of 4,474 outputs
Altmetric has tracked 25,728,855 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 142,667 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.8. This one has done well, scoring higher than 88% 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 343,679 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 4,474 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.