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 |
Interactions between antidiabetic drugs and herbs: an overview of mechanisms of action and clinical implications
|
|---|---|
| Published in |
Diabetology & Metabolic Syndrome, July 2017
|
| DOI | 10.1186/s13098-017-0254-9 |
| Pubmed ID | |
| Authors |
Ramesh C. Gupta, Dennis Chang, Srinivas Nammi, Alan Bensoussan, Kellie Bilinski, Basil D. Roufogalis |
| Abstract |
Diabetes is a complex condition with a variety of causes and pathophysiologies. The current single target approach has not provided ideal clinical outcomes for the treatment of the disease and its complications. Herbal medicine has been used for the management of various diseases such as diabetes over centuries. Many diabetic patients are known to use herbal medicines with antidiabetic properties in addition to their mainstream treatments, which may present both a benefit as well as potential risk to effective management of their disease. In this review we evaluate the clinical and experimental literature on herb-drug interactions in the treatment of diabetes. Pharmacokinetic and pharmacodynamic interactions between drugs and herbs are discussed, and some commonly used herbs which can interact with antidiabetic drugs summarised. Herb-drug interactions can be a double-edged sword presenting both risks (adverse drug events) and benefits (through enhancement). There is a general lack of data on herb-drug interactions. As such, more rigorous scientific research is urgently needed to guide clinical practice as well as to safeguard the wellbeing of diabetes patients. |
X Demographics
The data shown below were collected from the profiles of 25 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 | 7 | 28% |
| Australia | 3 | 12% |
| Spain | 3 | 12% |
| India | 1 | 4% |
| Hong Kong | 1 | 4% |
| Unknown | 10 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 17 | 68% |
| Practitioners (doctors, other healthcare professionals) | 6 | 24% |
| Scientists | 1 | 4% |
| Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 450 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 450 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 77 | 17% |
| Student > Master | 46 | 10% |
| Student > Ph. D. Student | 39 | 9% |
| Researcher | 27 | 6% |
| Lecturer | 18 | 4% |
| Other | 70 | 16% |
| Unknown | 173 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 81 | 18% |
| Medicine and Dentistry | 41 | 9% |
| Agricultural and Biological Sciences | 29 | 6% |
| Nursing and Health Professions | 29 | 6% |
| Biochemistry, Genetics and Molecular Biology | 28 | 6% |
| Other | 51 | 11% |
| Unknown | 191 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 37. 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 05 February 2024.
All research outputs
#1,094,779
of 25,312,451 outputs
Outputs from Diabetology & Metabolic Syndrome
#35
of 792 outputs
Outputs of similar age
#21,923
of 322,934 outputs
Outputs of similar age from Diabetology & Metabolic Syndrome
#3
of 12 outputs
Altmetric has tracked 25,312,451 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 792 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.7. 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 322,934 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 93% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.