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X Demographics
Mendeley readers
Attention Score in Context
Title |
An integration engineering framework for machine learning in healthcare
|
---|---|
Published in |
Frontiers in Digital Health, August 2022
|
DOI | 10.3389/fdgth.2022.932411 |
Pubmed ID | |
Authors |
Azadeh Assadi, Peter C. Laussen, Andrew J. Goodwin, Sebastian Goodfellow, William Dixon, Robert W. Greer, Anusha Jegatheeswaran, Devin Singh, Melissa McCradden, Sara N. Gallant, Anna Goldenberg, Danny Eytan, Mjaye L. Mazwi |
X Demographics
The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Canada | 3 | 23% |
United States | 2 | 15% |
Switzerland | 1 | 8% |
Unknown | 7 | 54% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 10 | 77% |
Scientists | 2 | 15% |
Practitioners (doctors, other healthcare professionals) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 50 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Doctoral Student | 7 | 14% |
Student > Ph. D. Student | 3 | 6% |
Student > Bachelor | 2 | 4% |
Lecturer > Senior Lecturer | 2 | 4% |
Student > Master | 2 | 4% |
Other | 5 | 10% |
Unknown | 29 | 58% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 6 | 12% |
Engineering | 4 | 8% |
Computer Science | 3 | 6% |
Business, Management and Accounting | 2 | 4% |
Decision Sciences | 1 | 2% |
Other | 3 | 6% |
Unknown | 31 | 62% |
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 14 October 2022.
All research outputs
#3,923,987
of 23,523,017 outputs
Outputs from Frontiers in Digital Health
#133
of 602 outputs
Outputs of similar age
#78,201
of 433,033 outputs
Outputs of similar age from Frontiers in Digital Health
#19
of 87 outputs
Altmetric has tracked 23,523,017 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 602 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.1. This one has done well, scoring higher than 77% 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 433,033 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 81% 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 done well, scoring higher than 77% of its contemporaries.