| Title |
Glucose estimation in the salivary secretion of diabetes mellitus patients
|
|---|---|
| Published in |
Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy, July 2012
|
| DOI | 10.2147/dmso.s32112 |
| Pubmed ID | |
| Authors |
Panda Abikshyeet, Venkatapathy Ramesh, Nirima Oza |
| Abstract |
Saliva is one of the most abundant secretions in the human body and its collection is easy and noninvasive. The aim of this study was to find a medium that can be used to diagnose and monitor diabetes. In this, saliva could play a major role. To substantiate the role of saliva as a diagnostic tool, we compared saliva samples with blood glucose and glycated hemoglobin (HbA(1c)) in healthy and diabetic subjects. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 131 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| Brazil | 1 | <1% |
| Unknown | 129 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 19 | 15% |
| Student > Ph. D. Student | 17 | 13% |
| Student > Master | 16 | 12% |
| Researcher | 15 | 11% |
| Student > Postgraduate | 8 | 6% |
| Other | 22 | 17% |
| Unknown | 34 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 29 | 22% |
| Engineering | 15 | 11% |
| Agricultural and Biological Sciences | 11 | 8% |
| Chemistry | 10 | 8% |
| Nursing and Health Professions | 5 | 4% |
| Other | 22 | 17% |
| Unknown | 39 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 14 November 2023.
All research outputs
#8,039,503
of 25,584,565 outputs
Outputs from Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy
#324
of 1,182 outputs
Outputs of similar age
#54,570
of 177,038 outputs
Outputs of similar age from Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy
#7
of 10 outputs
Altmetric has tracked 25,584,565 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 1,182 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.8. This one has gotten more attention than average, scoring higher than 71% 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 177,038 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.