| Title |
Genetic epidemiology of autoinflammatory disease variants in Indian population from 1029 whole genomes
|
|---|---|
| Published in |
Journal of Genetic Engineering and Biotechnology, December 2021
|
| DOI | 10.1186/s43141-021-00268-2 |
| Pubmed ID | |
| Authors |
Abhinav Jain, Rahul C Bhoyar, Kavita Pandhare, Anushree Mishra, Disha Sharma, Mohamed Imran, Vigneshwar Senthivel, Mohit Kumar Divakar, Mercy Rophina, Bani Jolly, Arushi Batra, Sumit Sharma, Sanjay Siwach, Arun G Jadhao, Nikhil V Palande, Ganga Nath Jha, Nishat Ashrafi, Prashant Kumar Mishra, Vidhya A K, Suman Jain, Debasis Dash, Nachimuthu Senthil Kumar, Andrew Vanlallawma, Ranjan Jyoti Sarma, Lalchhandama Chhakchhuak, Shantaraman Kalyanaraman, Radha Mahadevan, Sunitha Kandasamy, Pabitha B M, Raskin Erusan Rajagopal, Ezhil Ramya J, Nirmala Devi P, Anjali Bajaj, Vishu Gupta, Samatha Mathew, Sangam Goswami, Mohit Mangla, Savinitha Prakash, Kandarp Joshi, Meyakumla, Sreedevi S, Devarshi Gajjar, Ronibala Soraisham, Rohit Yadav, Yumnam Silla Devi, Aayush Gupta, Mitali Mukerji, Sivaprakash Ramalingam, Binukumar B K, Vinod Scaria, Sridhar Sivasubbu |
X Demographics
The data shown below were collected from the profiles of 23 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 | 10 | 43% |
| United Kingdom | 2 | 9% |
| United States | 1 | 4% |
| Denmark | 1 | 4% |
| Unknown | 9 | 39% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 14 | 61% |
| Scientists | 9 | 39% |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 10 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 20% |
| Other | 1 | 10% |
| Student > Master | 1 | 10% |
| Researcher | 1 | 10% |
| Student > Postgraduate | 1 | 10% |
| Other | 0 | 0% |
| Unknown | 4 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 1 | 10% |
| Nursing and Health Professions | 1 | 10% |
| Agricultural and Biological Sciences | 1 | 10% |
| Immunology and Microbiology | 1 | 10% |
| Medicine and Dentistry | 1 | 10% |
| Other | 1 | 10% |
| Unknown | 4 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 31 December 2021.
All research outputs
#2,468,243
of 25,392,582 outputs
Outputs from Journal of Genetic Engineering and Biotechnology
#11
of 348 outputs
Outputs of similar age
#58,343
of 512,151 outputs
Outputs of similar age from Journal of Genetic Engineering and Biotechnology
#1
of 11 outputs
Altmetric has tracked 25,392,582 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 348 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done particularly well, scoring higher than 96% 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 512,151 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 88% of its contemporaries.
We're also able to compare this research output to 11 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 90% of its contemporaries.