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X Demographics
Mendeley readers
Attention Score in Context
Title |
Nanomedicine Ex Machina: Between Model-Informed Development and Artificial Intelligence
|
---|---|
Published in |
Frontiers in Digital Health, February 2022
|
DOI | 10.3389/fdgth.2022.799341 |
Pubmed ID | |
Authors |
Mônica Villa Nova, Tzu Ping Lin, Saeed Shanehsazzadeh, Kinjal Jain, Samuel Cheng Yong Ng, Richard Wacker, Karim Chichakly, Matthias G. Wacker |
X Demographics
The data shown below were collected from the profiles of 19 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 | 3 | 16% |
Switzerland | 2 | 11% |
Belgium | 1 | 5% |
Austria | 1 | 5% |
India | 1 | 5% |
Colombia | 1 | 5% |
Ecuador | 1 | 5% |
Unknown | 9 | 47% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 13 | 68% |
Practitioners (doctors, other healthcare professionals) | 3 | 16% |
Science communicators (journalists, bloggers, editors) | 2 | 11% |
Scientists | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 33 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 4 | 12% |
Researcher | 3 | 9% |
Other | 2 | 6% |
Student > Postgraduate | 2 | 6% |
Student > Ph. D. Student | 2 | 6% |
Other | 4 | 12% |
Unknown | 16 | 48% |
Readers by discipline | Count | As % |
---|---|---|
Pharmacology, Toxicology and Pharmaceutical Science | 10 | 30% |
Business, Management and Accounting | 2 | 6% |
Biochemistry, Genetics and Molecular Biology | 2 | 6% |
Environmental Science | 1 | 3% |
Social Sciences | 1 | 3% |
Other | 1 | 3% |
Unknown | 16 | 48% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 07 March 2024.
All research outputs
#3,566,634
of 25,605,018 outputs
Outputs from Frontiers in Digital Health
#121
of 845 outputs
Outputs of similar age
#79,966
of 451,406 outputs
Outputs of similar age from Frontiers in Digital Health
#11
of 62 outputs
Altmetric has tracked 25,605,018 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 845 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.8. This one has done well, scoring higher than 85% 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 451,406 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 82% of its contemporaries.
We're also able to compare this research output to 62 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.