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Development of an ultra-sensitive human IL-33 biomarker assay for age-related macular degeneration and asthma drug development

Overview of attention for article published in Journal of Translational Medicine, December 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (59th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

patent
1 patent

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
10 Mendeley
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Title
Development of an ultra-sensitive human IL-33 biomarker assay for age-related macular degeneration and asthma drug development
Published in
Journal of Translational Medicine, December 2021
DOI 10.1186/s12967-021-03189-3
Pubmed ID
Authors

Elaine Mai, Joyce Chan, Levina Goon, Braeden K. Ego, Jack Bevers, Tiffany Wong, Manda Wong, Racquel Corpuz, Hongkang Xi, Jia Wu, Kellen Schneider, Dhaya Seshasayee, Michele Grimbaldeston, Gerald Nakamura, Vahan B. Indjeian, Menno van Lookeren Campagne, Kelly M. Loyet, Laetitia Comps-Agrar

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 10%
Researcher 1 10%
Other 1 10%
Student > Master 1 10%
Unknown 6 60%
Readers by discipline Count As %
Unspecified 1 10%
Agricultural and Biological Sciences 1 10%
Immunology and Microbiology 1 10%
Medicine and Dentistry 1 10%
Unknown 6 60%
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 22 February 2024.
All research outputs
#8,588,963
of 25,508,813 outputs
Outputs from Journal of Translational Medicine
#1,526
of 4,668 outputs
Outputs of similar age
#183,183
of 514,737 outputs
Outputs of similar age from Journal of Translational Medicine
#35
of 96 outputs
Altmetric has tracked 25,508,813 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,668 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has gotten more attention than average, scoring higher than 63% 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 514,737 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 59% of its contemporaries.
We're also able to compare this research output to 96 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 60% of its contemporaries.