| Title |
Machine learning guided aptamer refinement and discovery
|
|---|---|
| Published in |
Nature Communications, April 2021
|
| DOI | 10.1038/s41467-021-22555-9 |
| Pubmed ID | |
| Authors |
Ali Bashir, Qin Yang, Jinpeng Wang, Stephan Hoyer, Wenchuan Chou, Cory McLean, Geoff Davis, Qiang Gong, Zan Armstrong, Junghoon Jang, Hui Kang, Annalisa Pawlosky, Alexander Scott, George E. Dahl, Marc Berndl, Michelle Dimon, B. Scott Ferguson |
X Demographics
The data shown below were collected from the profiles of 10 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 | 2 | 20% |
| Luxembourg | 1 | 10% |
| United Kingdom | 1 | 10% |
| Canada | 1 | 10% |
| Singapore | 1 | 10% |
| Unknown | 4 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 60% |
| Scientists | 4 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 131 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 131 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 23 | 18% |
| Researcher | 21 | 16% |
| Student > Master | 10 | 8% |
| Student > Doctoral Student | 8 | 6% |
| Student > Bachelor | 7 | 5% |
| Other | 15 | 11% |
| Unknown | 47 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 29 | 22% |
| Engineering | 14 | 11% |
| Agricultural and Biological Sciences | 9 | 7% |
| Chemistry | 8 | 6% |
| Computer Science | 3 | 2% |
| Other | 19 | 15% |
| Unknown | 49 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 20 April 2023.
All research outputs
#4,607,024
of 25,744,802 outputs
Outputs from Nature Communications
#37,304
of 58,319 outputs
Outputs of similar age
#106,105
of 455,415 outputs
Outputs of similar age from Nature Communications
#1,230
of 1,736 outputs
Altmetric has tracked 25,744,802 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 58,319 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 55.4. This one is in the 35th percentile – i.e., 35% of its peers scored the same or lower than it.
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 455,415 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 76% of its contemporaries.
We're also able to compare this research output to 1,736 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.