The data shown below were collected from the profiles of 19 X users who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
High Level Production of Monoclonal Antibodies Using an Optimized Plant Expression System
|
|---|---|
| Published in |
Frontiers in Bioengineering and Biotechnology, January 2020
|
| DOI | 10.3389/fbioe.2019.00472 |
| Pubmed ID | |
| Authors |
Andrew G. Diamos, Joseph G. L. Hunter, Mary D. Pardhe, Sun H. Rosenthal, Haiyan Sun, Bonnie C. Foster, Michelle P. DiPalma, Qiang Chen, Hugh S. Mason |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 11% |
| Switzerland | 1 | 5% |
| Congo, The Democratic Republic of the | 1 | 5% |
| Unknown | 15 | 79% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 14 | 74% |
| Scientists | 4 | 21% |
| Practitioners (doctors, other healthcare professionals) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 188 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 188 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 21 | 11% |
| Student > Ph. D. Student | 19 | 10% |
| Student > Bachelor | 16 | 9% |
| Student > Master | 15 | 8% |
| Student > Doctoral Student | 9 | 5% |
| Other | 23 | 12% |
| Unknown | 85 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 55 | 29% |
| Agricultural and Biological Sciences | 13 | 7% |
| Engineering | 7 | 4% |
| Immunology and Microbiology | 5 | 3% |
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 2% |
| Other | 14 | 7% |
| Unknown | 90 | 48% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 09 May 2023.
All research outputs
#2,310,749
of 26,450,612 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#285
of 8,805 outputs
Outputs of similar age
#54,494
of 484,060 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#20
of 243 outputs
Altmetric has tracked 26,450,612 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,805 research outputs from this source. They receive a mean Attention Score of 3.6. 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 484,060 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 243 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 91% of its contemporaries.