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X Demographics
Mendeley readers
Attention Score in Context
Title |
A Rapid, Highly Sensitive and Open-Access SARS-CoV-2 Detection Assay for Laboratory and Home Testing
|
---|---|
Published in |
Frontiers in Molecular Biosciences, April 2022
|
DOI | 10.3389/fmolb.2022.801309 |
Pubmed ID | |
Authors |
Max J. Kellner, James J. Ross, Jakob Schnabl, Marcus P. S. Dekens, Martin Matl, Robert Heinen, Irina Grishkovskaya, Benedikt Bauer, Johannes Stadlmann, Luis Menéndez-Arias, Andrew D. Straw, Robert Fritsche-Polanz, Marianna Traugott, Tamara Seitz, Alexander Zoufaly, Manuela Födinger, Christoph Wenisch, Johannes Zuber, Vienna COVID-19 Detection Initiative, Andrea Pauli, Julius Brennecke |
X Demographics
The data shown below were collected from the profiles of 18 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Austria | 7 | 39% |
Switzerland | 2 | 11% |
United Kingdom | 1 | 6% |
United States | 1 | 6% |
Unknown | 7 | 39% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 12 | 67% |
Scientists | 6 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 146 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 146 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 25 | 17% |
Student > Bachelor | 16 | 11% |
Student > Ph. D. Student | 13 | 9% |
Student > Master | 8 | 5% |
Other | 5 | 3% |
Other | 22 | 15% |
Unknown | 57 | 39% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 46 | 32% |
Agricultural and Biological Sciences | 14 | 10% |
Engineering | 4 | 3% |
Pharmacology, Toxicology and Pharmaceutical Science | 3 | 2% |
Immunology and Microbiology | 3 | 2% |
Other | 14 | 10% |
Unknown | 62 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 May 2022.
All research outputs
#2,784,488
of 23,803,225 outputs
Outputs from Frontiers in Molecular Biosciences
#191
of 4,176 outputs
Outputs of similar age
#63,451
of 445,401 outputs
Outputs of similar age from Frontiers in Molecular Biosciences
#10
of 359 outputs
Altmetric has tracked 23,803,225 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,176 research outputs from this source. They receive a mean Attention Score of 3.3. 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 445,401 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 85% of its contemporaries.
We're also able to compare this research output to 359 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.