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Detection of SARS-CoV-2 Infection in Human Nasopharyngeal Samples by Combining MALDI-TOF MS and Artificial Intelligence

Overview of attention for article published in Frontiers in Medicine, April 2021
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

news
1 news outlet
twitter
4 X users
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
25 Dimensions

Readers on

mendeley
48 Mendeley
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Title
Detection of SARS-CoV-2 Infection in Human Nasopharyngeal Samples by Combining MALDI-TOF MS and Artificial Intelligence
Published in
Frontiers in Medicine, April 2021
DOI 10.3389/fmed.2021.661358
Pubmed ID
Authors

Meritxell Deulofeu, Esteban García-Cuesta, Eladia María Peña-Méndez, José Elías Conde, Orlando Jiménez-Romero, Enrique Verdú, María Teresa Serrando, Victoria Salvadó, Pere Boadas-Vaello

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 48 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 10 21%
Student > Master 5 10%
Student > Doctoral Student 4 8%
Researcher 4 8%
Student > Ph. D. Student 4 8%
Other 6 13%
Unknown 15 31%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 10%
Agricultural and Biological Sciences 5 10%
Immunology and Microbiology 4 8%
Medicine and Dentistry 3 6%
Engineering 3 6%
Other 11 23%
Unknown 17 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 December 2023.
All research outputs
#1,830,874
of 23,575,346 outputs
Outputs from Frontiers in Medicine
#466
of 6,091 outputs
Outputs of similar age
#49,929
of 432,647 outputs
Outputs of similar age from Frontiers in Medicine
#38
of 355 outputs
Altmetric has tracked 23,575,346 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,091 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.6. This one has done particularly well, scoring higher than 92% 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 432,647 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 355 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.