| Title |
Application of Baculovirus Expression Vector system (BEV) for COVID-19 diagnostics and therapeutics: a review
|
|---|---|
| Published in |
Journal of Genetic Engineering and Biotechnology, July 2022
|
| DOI | 10.1186/s43141-022-00368-7 |
| Pubmed ID | |
| Authors |
Muhammad Azharuddin Azali, Salmah Mohamed, Azian Harun, Faezahtul Arbaeyah Hussain, Shaharum Shamsuddin, Muhammad Farid Johan |
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 % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 30 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 17% |
| Unspecified | 4 | 13% |
| Student > Master | 4 | 13% |
| Student > Bachelor | 4 | 13% |
| Student > Ph. D. Student | 3 | 10% |
| Other | 0 | 0% |
| Unknown | 10 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 6 | 20% |
| Unspecified | 4 | 13% |
| Chemical Engineering | 3 | 10% |
| Environmental Science | 1 | 3% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
| Other | 5 | 17% |
| Unknown | 10 | 33% |
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 05 May 2024.
All research outputs
#15,483,065
of 25,848,323 outputs
Outputs from Journal of Genetic Engineering and Biotechnology
#79
of 352 outputs
Outputs of similar age
#199,828
of 440,082 outputs
Outputs of similar age from Journal of Genetic Engineering and Biotechnology
#4
of 22 outputs
Altmetric has tracked 25,848,323 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 352 research outputs from this source. They receive a mean Attention Score of 3.2. This one has done well, scoring higher than 75% 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 440,082 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 52% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.