| 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 |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Qatar | 1 | 25% |
| United Kingdom | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 80 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 13% |
| Student > Bachelor | 9 | 11% |
| Student > Master | 8 | 10% |
| Student > Doctoral Student | 7 | 9% |
| Other | 7 | 9% |
| Other | 14 | 18% |
| Unknown | 25 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 18 | 23% |
| Biochemistry, Genetics and Molecular Biology | 8 | 10% |
| Nursing and Health Professions | 6 | 8% |
| Psychology | 3 | 4% |
| Engineering | 3 | 4% |
| Other | 16 | 20% |
| Unknown | 26 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 27 April 2022.
All research outputs
#7,083,286
of 23,622,736 outputs
Outputs from Journal of Translational Medicine
#1,105
of 4,189 outputs
Outputs of similar age
#148,975
of 399,535 outputs
Outputs of similar age from Journal of Translational Medicine
#29
of 87 outputs
Altmetric has tracked 23,622,736 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 4,189 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has gotten more attention than average, scoring higher than 73% 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 399,535 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 62% of its contemporaries.
We're also able to compare this research output to 87 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 67% of its contemporaries.