| Title |
Whole genome expression and biochemical correlates of extreme constitutional types defined in Ayurveda
|
|---|---|
| Published in |
Journal of Translational Medicine, September 2008
|
| DOI | 10.1186/1479-5876-6-48 |
| Pubmed ID | |
| Authors |
Bhavana Prasher, Sapna Negi, Shilpi Aggarwal, Amit K Mandal, Tav P Sethi, Shailaja R Deshmukh, Sudha G Purohit, Shantanu Sengupta, Sangeeta Khanna, Farhan Mohammad, Gaurav Garg, Samir K Brahmachari, Indian Genome Variation Consortium, Mitali Mukerji |
| Abstract |
Ayurveda is an ancient system of personalized medicine documented and practiced in India since 1500 B.C. According to this system an individual's basic constitution to a large extent determines predisposition and prognosis to diseases as well as therapy and life-style regime. Ayurveda describes seven broad constitution types (Prakritis) each with a varying degree of predisposition to different diseases. Amongst these, three most contrasting types, Vata, Pitta, Kapha, are the most vulnerable to diseases. In the realm of modern predictive medicine, efforts are being directed towards capturing disease phenotypes with greater precision for successful identification of markers for prospective disease conditions. In this study, we explore whether the different constitution types as described in Ayurveda has molecular correlates. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 2 | 50% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 157 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 2 | 1% |
| United States | 1 | <1% |
| India | 1 | <1% |
| Nigeria | 1 | <1% |
| Unknown | 152 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 32 | 20% |
| Student > Ph. D. Student | 27 | 17% |
| Student > Bachelor | 15 | 10% |
| Other | 13 | 8% |
| Student > Master | 12 | 8% |
| Other | 30 | 19% |
| Unknown | 28 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 47 | 30% |
| Agricultural and Biological Sciences | 26 | 17% |
| Biochemistry, Genetics and Molecular Biology | 22 | 14% |
| Engineering | 5 | 3% |
| Neuroscience | 4 | 3% |
| Other | 22 | 14% |
| Unknown | 31 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 39. 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 27 February 2024.
All research outputs
#1,044,790
of 25,371,288 outputs
Outputs from Journal of Translational Medicine
#211
of 4,634 outputs
Outputs of similar age
#2,231
of 98,170 outputs
Outputs of similar age from Journal of Translational Medicine
#1
of 8 outputs
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