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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Can the onset of heart failure be delayed by treating diabetic cardiomyopathy?
|
|---|---|
| Published in |
Diabetology & Metabolic Syndrome, April 2017
|
| DOI | 10.1186/s13098-017-0219-z |
| Pubmed ID | |
| Authors |
Anna Marcinkiewicz, Stanisław Ostrowski, Józef Drzewoski |
| Abstract |
The pathophysiology of diabetic cardiomyopathy (DC) is not fully understood. This frequently undiagnosed complication of chronic hyperglycemia leads to heart failure (HF). However, it is suggested that an appropriate metabolic control of diabetes at an early stage of this deleterious disease, is able to inhibit the development and progression of DC to HF. Recently, it has been postulated that myocardial ischaemia plays an important role in the development of this pathology. Results of the antianginal pharmacological treatment and revascularization are unsatisfactory and reveal a gap in our knowledge and current approaches to treating DC. Most recent studies emphasize the ischaemic component of DC as a key target for therapeutic strategies, which could change its unfavorable history. More stress is put on an early diagnosis of coronary artery disease (CAD), promoting prompt revascularization. Choosing the accurate time of surgical revascularization, with the inclusion of the metabolic background, can ensure complete revascularization with better prognosis. This review will focus on the complexity of DC and summarize contemporary knowledge of treatment strategies for patients with diabetes and CAD. |
X Demographics
The data shown below were collected from the profiles of 24 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 8 | 33% |
| United Kingdom | 5 | 21% |
| Venezuela, Bolivarian Republic of | 2 | 8% |
| Colombia | 1 | 4% |
| Australia | 1 | 4% |
| Unknown | 7 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 50% |
| Practitioners (doctors, other healthcare professionals) | 5 | 21% |
| Scientists | 4 | 17% |
| Science communicators (journalists, bloggers, editors) | 3 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 38 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 6 | 16% |
| Student > Ph. D. Student | 4 | 11% |
| Student > Master | 4 | 11% |
| Student > Postgraduate | 3 | 8% |
| Professor | 2 | 5% |
| Other | 8 | 21% |
| Unknown | 11 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 34% |
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 11% |
| Nursing and Health Professions | 2 | 5% |
| Agricultural and Biological Sciences | 2 | 5% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Other | 4 | 11% |
| Unknown | 12 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 06 February 2018.
All research outputs
#2,423,110
of 23,576,969 outputs
Outputs from Diabetology & Metabolic Syndrome
#79
of 710 outputs
Outputs of similar age
#46,750
of 309,840 outputs
Outputs of similar age from Diabetology & Metabolic Syndrome
#2
of 13 outputs
Altmetric has tracked 23,576,969 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 710 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.7. This one has done well, scoring higher than 89% 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 309,840 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 84% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.