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Identify. Quantify. Predict. Why Immunologists Should Widely Use Molecular Imaging for Coronavirus Disease 2019

Overview of attention for article published in Frontiers in immunology, May 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

Mentioned by

twitter
6 X users

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
57 Mendeley
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Title
Identify. Quantify. Predict. Why Immunologists Should Widely Use Molecular Imaging for Coronavirus Disease 2019
Published in
Frontiers in immunology, May 2021
DOI 10.3389/fimmu.2021.568959
Pubmed ID
Authors

Freimut D. Juengling, Antonio Maldonado, Frank Wuest, Thomas H. Schindler

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 57 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 11%
Student > Master 5 9%
Student > Bachelor 5 9%
Student > Doctoral Student 4 7%
Student > Ph. D. Student 4 7%
Other 9 16%
Unknown 24 42%
Readers by discipline Count As %
Medicine and Dentistry 16 28%
Biochemistry, Genetics and Molecular Biology 3 5%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Nursing and Health Professions 2 4%
Computer Science 1 2%
Other 6 11%
Unknown 27 47%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 31 May 2021.
All research outputs
#14,547,373
of 25,387,668 outputs
Outputs from Frontiers in immunology
#12,133
of 31,541 outputs
Outputs of similar age
#204,721
of 454,209 outputs
Outputs of similar age from Frontiers in immunology
#596
of 1,376 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 31,541 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one has gotten more attention than average, scoring higher than 60% 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 454,209 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.
We're also able to compare this research output to 1,376 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.