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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Skin Manifestations of Insulin Resistance: From a Biochemical Stance to a Clinical Diagnosis and Management
|
|---|---|
| Published in |
Dermatology and Therapy, December 2016
|
| DOI | 10.1007/s13555-016-0160-3 |
| Pubmed ID | |
| Authors |
Gloria González-Saldivar, René Rodríguez-Gutiérrez, Jorge Ocampo-Candiani, José Gerardo González-González, Minerva Gómez-Flores |
| Abstract |
Worldwide, more than 1.9 billion adults are overweight, and around 600 million people suffer from obesity. Similarly, ~382 million individuals live with diabetes, and 40-50% of the global population is labeled at "high risk" (i.e., prediabetes). The impact of these two chronic conditions relies not only on the burden of illnesses per se (i.e., associated increased morbidity and mortality), but also on their increased cost, burden of treatment, and decreased health-related quality of life. For this review a comprehensive search in several databases including PubMed (MEDLINE), Ovid EMBASE, Web of Science, and Scopus was conducted. In both diabetes and obesity, genetic, epigenetic, and environmental factors overlap and are inclusive rather than exclusive. De facto, 70-80% of the patients with obesity and virtually every patient with type 2 diabetes have insulin resistance. Insulin resistance is a well-known pathophysiologic factor in the development of type 2 diabetes, characteristically appearing years before its diagnosis. The gold standard for insulin resistance diagnosis (the euglycemic insulin clamp) is a complex, invasive, costly, and hence unfeasible test to implement in clinical practice. Likewise, laboratory measures and derived indexes [e.g., homeostasis model assessment of insulin resistance (HOMA-IR-)] are indirect, imprecise, and not highly accurate and reproducible tests. However, skin manifestations of insulin resistance (e.g., acrochordons, acanthosis nigricans, androgenetic alopecia, acne, hirsutism) offer a reliable, straightforward, and real-time way to detect insulin resistance. The objective of this review is to aid clinicians in recognizing skin manifestations of insulin resistance. Diagnosing these skin manifestations accurately may cascade positively in the patient's health by triggering an adequate metabolic evaluation, a timely treatment or referral with the ultimate objective of decreasing diabetes and obesity burden, and improving the health and the quality of care for these patients. |
X Demographics
The data shown below were collected from the profiles of 23 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 | 2 | 9% |
| Malaysia | 2 | 9% |
| Japan | 1 | 4% |
| France | 1 | 4% |
| Montenegro | 1 | 4% |
| Indonesia | 1 | 4% |
| New Zealand | 1 | 4% |
| United Kingdom | 1 | 4% |
| Unknown | 13 | 57% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 19 | 83% |
| Practitioners (doctors, other healthcare professionals) | 2 | 9% |
| Science communicators (journalists, bloggers, editors) | 2 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 160 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 160 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 28 | 18% |
| Other | 19 | 12% |
| Student > Bachelor | 19 | 12% |
| Researcher | 14 | 9% |
| Student > Postgraduate | 12 | 8% |
| Other | 25 | 16% |
| Unknown | 43 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 62 | 39% |
| Nursing and Health Professions | 16 | 10% |
| Biochemistry, Genetics and Molecular Biology | 9 | 6% |
| Agricultural and Biological Sciences | 6 | 4% |
| Psychology | 4 | 3% |
| Other | 18 | 11% |
| Unknown | 45 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 43. 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 29 March 2024.
All research outputs
#974,015
of 25,724,500 outputs
Outputs from Dermatology and Therapy
#48
of 995 outputs
Outputs of similar age
#19,440
of 418,619 outputs
Outputs of similar age from Dermatology and Therapy
#3
of 14 outputs
Altmetric has tracked 25,724,500 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 995 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.3. This one has done particularly well, scoring higher than 95% 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 418,619 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 95% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.