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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Impact of comorbidities on gout and hyperuricaemia: an update on prevalence and treatment options
|
|---|---|
| Published in |
BMC Medicine, July 2017
|
| DOI | 10.1186/s12916-017-0890-9 |
| Pubmed ID | |
| Authors |
Thomas Bardin, Pascal Richette |
| Abstract |
Gout, the most prevalent inflammatory arthritis worldwide, is associated with cardiovascular and renal diseases, and is an independent predictor of premature death. The frequencies of obesity, chronic kidney disease (CKD), hypertension, type 2 diabetes, dyslipidaemias, cardiac diseases (including coronary heart disease, heart failure and atrial fibrillation), stroke and peripheral arterial disease have been repeatedly shown to be increased in gout. Therefore, the screening and care of these comorbidities as well as of cardiovascular risk factors are of outmost importance in patients with gout. Comorbidities, especially CKD, and drugs prescribed for their treatment, also impact gout management. Numerous epidemiological studies have shown the association of asymptomatic hyperuricaemia with the above-mentioned diseases and cardiovascular risk factors. Animal studies have also produced a mechanistic approach to the vascular toxicity of soluble urate. However, causality remains uncertain because confounders, reverse causality or common etiological factors might explain the epidemiological results. Additionally, these uncertainties remain unsolved despite recent studies using Mendelian randomisation or therapeutic approaches. Thus, large randomised placebo-controlled trials are still needed to assess the benefits of treating asymptomatic hyperuricaemia. |
X Demographics
The data shown below were collected from the profiles of 3 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 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 236 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 236 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 35 | 15% |
| Student > Master | 25 | 11% |
| Other | 21 | 9% |
| Student > Ph. D. Student | 21 | 9% |
| Researcher | 20 | 8% |
| Other | 32 | 14% |
| Unknown | 82 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 75 | 32% |
| Biochemistry, Genetics and Molecular Biology | 14 | 6% |
| Nursing and Health Professions | 12 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 12 | 5% |
| Agricultural and Biological Sciences | 4 | 2% |
| Other | 25 | 11% |
| Unknown | 94 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 28 March 2022.
All research outputs
#2,560,957
of 26,017,215 outputs
Outputs from BMC Medicine
#1,680
of 4,076 outputs
Outputs of similar age
#46,120
of 330,001 outputs
Outputs of similar age from BMC Medicine
#21
of 50 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,076 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 46.0. This one has gotten more attention than average, scoring higher than 58% 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 330,001 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 85% of its contemporaries.
We're also able to compare this research output to 50 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 57% of its contemporaries.