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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Patient similarity and other artificial intelligence machine learning algorithms in clinical decision aid for shared decision-making in the Prevention of Cardiovascular Toxicity (PACT): a feasibility trial design
|
|---|---|
| Published in |
Cardio-Oncology, January 2023
|
| DOI | 10.1186/s40959-022-00151-0 |
| Pubmed ID | |
| Authors |
Sherry-Ann Brown, Brian Y. Chung, Krishna Doshi, Abdulaziz Hamid, Erin Pederson, Ragasnehith Maddula, Allen Hanna, Indrajit Choudhuri, Rodney Sparapani, Mehri Bagheri Mohamadi Pour, Jun Zhang, Anai N. Kothari, Patrick Collier, Pedro Caraballo, Peter Noseworthy, Adelaide Arruda-Olson |
X Demographics
The data shown below were collected from the profiles of 9 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 | 4 | 44% |
| Spain | 1 | 11% |
| Australia | 1 | 11% |
| Unknown | 3 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 78% |
| Scientists | 2 | 22% |
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 % |
|---|---|---|
| Other | 2 | 6% |
| Lecturer | 2 | 6% |
| Student > Ph. D. Student | 2 | 6% |
| Researcher | 2 | 6% |
| Student > Bachelor | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 22 | 67% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 3 | 9% |
| Medicine and Dentistry | 3 | 9% |
| Arts and Humanities | 1 | 3% |
| Psychology | 1 | 3% |
| Immunology and Microbiology | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 22 | 67% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 01 March 2023.
All research outputs
#6,936,198
of 25,391,701 outputs
Outputs from Cardio-Oncology
#70
of 157 outputs
Outputs of similar age
#127,749
of 472,177 outputs
Outputs of similar age from Cardio-Oncology
#5
of 10 outputs
Altmetric has tracked 25,391,701 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 157 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one has gotten more attention than average, scoring higher than 56% 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 472,177 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 72% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.