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A modular framework for the development of targeted Covid-19 blood transcript profiling panels

Overview of attention for article published in Journal of Translational Medicine, July 2020
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
3 tweeters
f1000
1 research highlight platform

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
37 Mendeley
Title
A modular framework for the development of targeted Covid-19 blood transcript profiling panels
Published in
Journal of Translational Medicine, July 2020
DOI 10.1186/s12967-020-02456-z
Pubmed ID
Authors

Darawan Rinchai, Basirudeen Syed Ahamed Kabeer, Mohammed Toufiq, Zohreh Tatari-Calderone, Sara Deola, Tobias Brummaier, Mathieu Garand, Ricardo Branco, Nicole Baldwin, Mohamed Alfaki, Matthew C. Altman, Alberto Ballestrero, Matteo Bassetti, Gabriele Zoppoli, Andrea De Maria, Benjamin Tang, Davide Bedognetti, Damien Chaussabel

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 19%
Other 5 14%
Student > Bachelor 3 8%
Student > Master 2 5%
Unspecified 2 5%
Other 7 19%
Unknown 11 30%
Readers by discipline Count As %
Medicine and Dentistry 6 16%
Biochemistry, Genetics and Molecular Biology 5 14%
Nursing and Health Professions 4 11%
Psychology 2 5%
Unspecified 2 5%
Other 7 19%
Unknown 11 30%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 24 August 2020.
All research outputs
#9,542,900
of 17,027,788 outputs
Outputs from Journal of Translational Medicine
#1,220
of 3,161 outputs
Outputs of similar age
#146,514
of 301,605 outputs
Outputs of similar age from Journal of Translational Medicine
#1
of 1 outputs
Altmetric has tracked 17,027,788 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 3,161 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.7. This one has gotten more attention than average, scoring higher than 58% 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 301,605 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them