| Title |
Direct detection of human adenovirus or SARS-CoV-2 with ability to inform infectivity using DNA aptamer-nanopore sensors
|
|---|---|
| Published in |
Science Advances, September 2021
|
| DOI | 10.1126/sciadv.abh2848 |
| Pubmed ID | |
| Authors |
Ana S Peinetti, Ryan J Lake, Wen Cong, Laura Cooper, Yuting Wu, Yuan Ma, Gregory T Pawel, María Eugenia Toimil-Molares, Christina Trautmann, Lijun Rong, Benito Mariñas, Omar Azzaroni, Yi Lu |
X Demographics
The data shown below were collected from the profiles of 471 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Argentina | 185 | 39% |
| United States | 11 | 2% |
| Spain | 10 | 2% |
| Mexico | 5 | 1% |
| Venezuela, Bolivarian Republic of | 4 | <1% |
| Peru | 2 | <1% |
| United Kingdom | 2 | <1% |
| Uruguay | 2 | <1% |
| Philippines | 2 | <1% |
| Other | 14 | 3% |
| Unknown | 234 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 433 | 92% |
| Scientists | 32 | 7% |
| Practitioners (doctors, other healthcare professionals) | 4 | <1% |
| Science communicators (journalists, bloggers, editors) | 2 | <1% |
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 % |
|---|---|---|
| Unknown | 125 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 14% |
| Researcher | 18 | 14% |
| Student > Master | 10 | 8% |
| Student > Bachelor | 7 | 6% |
| Student > Doctoral Student | 6 | 5% |
| Other | 21 | 17% |
| Unknown | 45 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 22 | 18% |
| Chemistry | 16 | 13% |
| Engineering | 9 | 7% |
| Environmental Science | 5 | 4% |
| Immunology and Microbiology | 4 | 3% |
| Other | 18 | 14% |
| Unknown | 51 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 559. 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 02 February 2023.
All research outputs
#43,740
of 25,779,988 outputs
Outputs from Science Advances
#573
of 12,521 outputs
Outputs of similar age
#1,399
of 438,115 outputs
Outputs of similar age from Science Advances
#23
of 450 outputs
Altmetric has tracked 25,779,988 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,521 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 119.8. This one has done particularly well, scoring higher than 95% 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 438,115 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 450 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 94% of its contemporaries.