| Title |
High-throughput screening and selection of yeast cell lines expressing monoclonal antibodies
|
|---|---|
| Published in |
Journal of Industrial Microbiology & Biotechnology, August 2010
|
| DOI | 10.1007/s10295-010-0746-1 |
| Pubmed ID | |
| Authors |
Gavin C. Barnard, Angela R. Kull, Nathan S. Sharkey, Seemab S. Shaikh, Alissa M. Rittenhour, Irina Burnina, Youwei Jiang, Fang Li, Heather Lynaugh, Teresa Mitchell, Juergen H. Nett, Adam Nylen, Thomas I. Potgieter, Bianka Prinz, Sandra E. Rios, Dongxing Zha, Natarajan Sethuraman, Terrance A. Stadheim, Piotr Bobrowicz |
X Demographics
The data shown below were collected from the profile of 1 X user 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 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 125 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 2% |
| United Kingdom | 1 | <1% |
| Unknown | 122 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 37 | 30% |
| Student > Ph. D. Student | 28 | 22% |
| Student > Master | 22 | 18% |
| Student > Doctoral Student | 6 | 5% |
| Student > Bachelor | 4 | 3% |
| Other | 14 | 11% |
| Unknown | 14 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 44 | 35% |
| Biochemistry, Genetics and Molecular Biology | 35 | 28% |
| Engineering | 10 | 8% |
| Chemical Engineering | 6 | 5% |
| Medicine and Dentistry | 4 | 3% |
| Other | 7 | 6% |
| Unknown | 19 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 17 May 2022.
All research outputs
#4,524,714
of 22,840,638 outputs
Outputs from Journal of Industrial Microbiology & Biotechnology
#191
of 1,303 outputs
Outputs of similar age
#18,900
of 94,149 outputs
Outputs of similar age from Journal of Industrial Microbiology & Biotechnology
#10
of 32 outputs
Altmetric has tracked 22,840,638 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,303 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done well, scoring higher than 85% 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 94,149 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 79% of its contemporaries.
We're also able to compare this research output to 32 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 68% of its contemporaries.