The data shown below were collected from the profiles of 469 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
| 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
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Argentina | 171 | 36% |
| Spain | 10 | 2% |
| United States | 9 | 2% |
| Mexico | 5 | 1% |
| Peru | 2 | <1% |
| Philippines | 2 | <1% |
| Germany | 2 | <1% |
| Uruguay | 2 | <1% |
| Venezuela, Bolivarian Republic of | 2 | <1% |
| Other | 15 | 3% |
| Unknown | 249 | 53% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 430 | 92% |
| Scientists | 33 | 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 138 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 138 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 20 | 14% |
| Researcher | 19 | 14% |
| Student > Master | 11 | 8% |
| Student > Bachelor | 9 | 7% |
| Student > Doctoral Student | 6 | 4% |
| Other | 22 | 16% |
| Unknown | 51 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 25 | 18% |
| Chemistry | 17 | 12% |
| Engineering | 9 | 7% |
| Environmental Science | 5 | 4% |
| Immunology and Microbiology | 4 | 3% |
| Other | 20 | 14% |
| Unknown | 58 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 556. 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
#46,718
of 26,733,946 outputs
Outputs from Science Advances
#608
of 13,515 outputs
Outputs of similar age
#1,445
of 442,792 outputs
Outputs of similar age from Science Advances
#23
of 450 outputs
Altmetric has tracked 26,733,946 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 13,515 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 117.8. 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 442,792 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.