| Title |
CoronaVR: A Computational Resource and Analysis of Epitopes and Therapeutics for Severe Acute Respiratory Syndrome Coronavirus-2
|
|---|---|
| Published in |
Frontiers in Microbiology, July 2020
|
| DOI | 10.3389/fmicb.2020.01858 |
| Pubmed ID | |
| Authors |
Amit Kumar Gupta, Shoaib Khan, Shubham Choudhury, Adhip Mukhopadhyay, Sakshi, Amber Rastogi, Anamika Thakur, Pallawi Kumari, Manmeet Kaur, Shalu, Chanchal Saini, Vandna Sapehia, Barkha, Pradeep Kumar Patel, Kailash T. Bhamare, Manoj Kumar |
X Demographics
The data shown below were collected from the profiles of 2 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 | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 96 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 18 | 19% |
| Student > Master | 13 | 14% |
| Other | 7 | 7% |
| Student > Bachelor | 7 | 7% |
| Student > Ph. D. Student | 6 | 6% |
| Other | 16 | 17% |
| Unknown | 29 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 15 | 16% |
| Biochemistry, Genetics and Molecular Biology | 11 | 11% |
| Nursing and Health Professions | 8 | 8% |
| Agricultural and Biological Sciences | 6 | 6% |
| Immunology and Microbiology | 4 | 4% |
| Other | 22 | 23% |
| Unknown | 30 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 16 August 2020.
All research outputs
#14,515,296
of 23,873,054 outputs
Outputs from Frontiers in Microbiology
#12,099
of 26,769 outputs
Outputs of similar age
#212,246
of 400,903 outputs
Outputs of similar age from Frontiers in Microbiology
#491
of 933 outputs
Altmetric has tracked 23,873,054 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 26,769 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has gotten more attention than average, scoring higher than 53% 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 400,903 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 933 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.