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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Process development for pandemic influenza VLP vaccine production using a baculovirus expression system
|
|---|---|
| Published in |
Journal of Biological Engineering, October 2019
|
| DOI | 10.1186/s13036-019-0206-z |
| Pubmed ID | |
| Authors |
Chia-Chun Lai, Yu-Chieh Cheng, Pin-Wen Chen, Ting-Hui Lin, Tsai-Teng Tzeng, Chia-Chun Lu, Min-Shi Lee, Alan Yung-Chih Hu |
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 % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 76 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 20% |
| Student > Bachelor | 10 | 13% |
| Researcher | 9 | 12% |
| Student > Master | 8 | 11% |
| Student > Doctoral Student | 4 | 5% |
| Other | 5 | 7% |
| Unknown | 25 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 23 | 30% |
| Agricultural and Biological Sciences | 9 | 12% |
| Chemical Engineering | 6 | 8% |
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 5% |
| Immunology and Microbiology | 3 | 4% |
| Other | 4 | 5% |
| Unknown | 27 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 19 January 2024.
All research outputs
#7,239,523
of 25,470,300 outputs
Outputs from Journal of Biological Engineering
#114
of 309 outputs
Outputs of similar age
#126,501
of 375,065 outputs
Outputs of similar age from Journal of Biological Engineering
#6
of 13 outputs
Altmetric has tracked 25,470,300 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 309 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.5. This one has gotten more attention than average, scoring higher than 63% 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 375,065 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 65% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.