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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Personalised, Rational, Efficacy-Driven Cancer Drug Dosing via an Artificial Intelligence SystEm (PRECISE): A Protocol for the PRECISE CURATE.AI Pilot Clinical Trial
|
|---|---|
| Published in |
Frontiers in Digital Health, April 2021
|
| DOI | 10.3389/fdgth.2021.635524 |
| Pubmed ID | |
| Authors |
Benjamin Kye Jyn Tan, Chong Boon Teo, Xavier Tadeo, Siyu Peng, Hazel Pei Lin Soh, Sherry De Xuan Du, Vilianty Wen Ya Luo, Aishwarya Bandla, Raghav Sundar, Dean Ho, Theodore Wonpeum Kee, Agata Blasiak |
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 % |
|---|---|---|
| Unknown | 4 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 47 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 9% |
| Unspecified | 3 | 6% |
| Other | 3 | 6% |
| Student > Bachelor | 3 | 6% |
| Student > Ph. D. Student | 2 | 4% |
| Other | 4 | 9% |
| Unknown | 28 | 60% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 4 | 9% |
| Medicine and Dentistry | 3 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 4% |
| Business, Management and Accounting | 2 | 4% |
| Arts and Humanities | 1 | 2% |
| Other | 7 | 15% |
| Unknown | 28 | 60% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 30 October 2022.
All research outputs
#13,970,130
of 24,710,887 outputs
Outputs from Frontiers in Digital Health
#336
of 740 outputs
Outputs of similar age
#192,239
of 433,004 outputs
Outputs of similar age from Frontiers in Digital Health
#16
of 32 outputs
Altmetric has tracked 24,710,887 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 740 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one has gotten more attention than average, scoring higher than 53% 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 433,004 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 55% of its contemporaries.
We're also able to compare this research output to 32 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 53% of its contemporaries.