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 |
A highly conserved WDYPKCDRA epitope in the RNA directed RNA polymerase of human coronaviruses can be used as epitope-based universal vaccine design
|
|---|---|
| Published in |
BMC Bioinformatics, May 2014
|
| DOI | 10.1186/1471-2105-15-161 |
| Pubmed ID | |
| Authors |
Refat Sharmin, Abul Bashar Mir Md Khademul Islam |
| Abstract |
Coronaviruses are the diverse group of RNA virus. From 1960, six strains of human coronaviruses have emerged that includes SARS-CoV and the recent infection by deadly MERS-CoV which is now going to cause another outbreak. Prevention of these viruses is urgent and a universal vaccine for all strain could be a promising solution in this circumstance. In this study we aimed to design an epitope based vaccine against all strain of human coronavirus. |
X Demographics
The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 3 | 27% |
| United States | 2 | 18% |
| Canada | 1 | 9% |
| Norway | 1 | 9% |
| Unknown | 4 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 64% |
| Scientists | 4 | 36% |
Mendeley readers
The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 2 | 2% |
| Bangladesh | 1 | 1% |
| Brazil | 1 | 1% |
| Unknown | 77 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 21 | 26% |
| Student > Bachelor | 17 | 21% |
| Student > Master | 8 | 10% |
| Student > Ph. D. Student | 6 | 7% |
| Professor > Associate Professor | 4 | 5% |
| Other | 9 | 11% |
| Unknown | 16 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 17 | 21% |
| Agricultural and Biological Sciences | 14 | 17% |
| Medicine and Dentistry | 12 | 15% |
| Chemistry | 5 | 6% |
| Immunology and Microbiology | 3 | 4% |
| Other | 11 | 14% |
| Unknown | 19 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 08 December 2022.
All research outputs
#4,204,583
of 25,337,969 outputs
Outputs from BMC Bioinformatics
#1,431
of 7,675 outputs
Outputs of similar age
#38,478
of 233,328 outputs
Outputs of similar age from BMC Bioinformatics
#32
of 154 outputs
Altmetric has tracked 25,337,969 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,675 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done well, scoring higher than 81% 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 233,328 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 83% of its contemporaries.
We're also able to compare this research output to 154 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.