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X Demographics
Mendeley readers
Attention Score in Context
Title |
A Crisis-Responsive Framework for Medical Device Development Applied to the COVID-19 Pandemic
|
---|---|
Published in |
Frontiers in Digital Health, March 2021
|
DOI | 10.3389/fdgth.2021.617106 |
Pubmed ID | |
Authors |
Marc-Joseph Antonini, Deborah Plana, Shriya Srinivasan, Lyla Atta, Aditya Achanta, Helen Yang, Avilash K. Cramer, Jacob Freake, Michael S. Sinha, Sherry H. Yu, Nicole R. LeBoeuf, Ben Linville-Engler, Peter K. Sorger |
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 % |
---|---|---|
United States | 2 | 50% |
Unknown | 2 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 50% |
Scientists | 1 | 25% |
Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 69 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 12 | 17% |
Researcher | 7 | 10% |
Student > Master | 6 | 9% |
Student > Bachelor | 6 | 9% |
Student > Doctoral Student | 6 | 9% |
Other | 13 | 19% |
Unknown | 19 | 28% |
Readers by discipline | Count | As % |
---|---|---|
Business, Management and Accounting | 12 | 17% |
Medicine and Dentistry | 9 | 13% |
Engineering | 6 | 9% |
Nursing and Health Professions | 4 | 6% |
Computer Science | 3 | 4% |
Other | 17 | 25% |
Unknown | 18 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 15 June 2021.
All research outputs
#3,641,119
of 23,292,144 outputs
Outputs from Frontiers in Digital Health
#114
of 576 outputs
Outputs of similar age
#89,153
of 427,846 outputs
Outputs of similar age from Frontiers in Digital Health
#10
of 40 outputs
Altmetric has tracked 23,292,144 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 576 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.5. This one has done well, scoring higher than 80% 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 427,846 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 79% of its contemporaries.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.