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X Demographics
Mendeley readers
Attention Score in Context
| Title |
DeepSARS: simultaneous diagnostic detection and genomic surveillance of SARS-CoV-2
|
|---|---|
| Published in |
BMC Genomics, April 2022
|
| DOI | 10.1186/s12864-022-08403-0 |
| Pubmed ID | |
| Authors |
Alexander Yermanos, Kai-Lin Hong, Andreas Agrafiotis, Jiami Han, Sarah Nadeau, Cecilia Valenzuela, Asli Azizoglu, Roy Ehling, Beichen Gao, Michael Spahr, Daniel Neumeier, Ching-Hsiang Chang, Andreas Dounas, Ezequiel Petrillo, Ina Nissen, Elodie Burcklen, Mirjam Feldkamp, Christian Beisel, Annette Oxenius, Miodrag Savic, Tanja Stadler, Fabian Rudolf, Sai T. Reddy |
X Demographics
The data shown below were collected from the profiles of 22 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 4 | 18% |
| Germany | 1 | 5% |
| Unknown | 17 | 77% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 19 | 86% |
| Scientists | 1 | 5% |
| Practitioners (doctors, other healthcare professionals) | 1 | 5% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 31 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 16% |
| Other | 2 | 6% |
| Lecturer > Senior Lecturer | 2 | 6% |
| Student > Bachelor | 2 | 6% |
| Student > Master | 2 | 6% |
| Other | 3 | 10% |
| Unknown | 15 | 48% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 4 | 13% |
| Medicine and Dentistry | 2 | 6% |
| Social Sciences | 2 | 6% |
| Nursing and Health Professions | 1 | 3% |
| Agricultural and Biological Sciences | 1 | 3% |
| Other | 5 | 16% |
| Unknown | 16 | 52% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 29 December 2023.
All research outputs
#2,337,069
of 25,601,426 outputs
Outputs from BMC Genomics
#604
of 11,288 outputs
Outputs of similar age
#53,532
of 448,697 outputs
Outputs of similar age from BMC Genomics
#6
of 197 outputs
Altmetric has tracked 25,601,426 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,288 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 94% 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 448,697 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 197 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 97% of its contemporaries.