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X Demographics
Mendeley readers
Attention Score in Context
Title |
TAVR and cancer: machine learning-augmented propensity score mortality and cost analysis in over 30 million patients
|
---|---|
Published in |
Cardio-Oncology, June 2021
|
DOI | 10.1186/s40959-021-00111-0 |
Pubmed ID | |
Authors |
Dominique J. Monlezun, Logan Hostetter, Prakash Balan, Nicolas Palaskas, Juan Lopez-Mattei, Mehmet Cilingiroglu, Zaza Iakobishvili, Michael Ewer, Konstantinos Marmagkiolis, Cezar Iliescu |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Mexico | 1 | 17% |
United States | 1 | 17% |
Unknown | 4 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 83% |
Practitioners (doctors, other healthcare professionals) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 29 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 4 | 14% |
Researcher | 2 | 7% |
Student > Bachelor | 2 | 7% |
Student > Doctoral Student | 1 | 3% |
Other | 1 | 3% |
Other | 0 | 0% |
Unknown | 19 | 66% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 3 | 10% |
Business, Management and Accounting | 2 | 7% |
Nursing and Health Professions | 2 | 7% |
Computer Science | 1 | 3% |
Economics, Econometrics and Finance | 1 | 3% |
Other | 1 | 3% |
Unknown | 19 | 66% |
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 11 December 2021.
All research outputs
#3,161,320
of 22,668,244 outputs
Outputs from Cardio-Oncology
#28
of 117 outputs
Outputs of similar age
#77,645
of 438,254 outputs
Outputs of similar age from Cardio-Oncology
#5
of 9 outputs
Altmetric has tracked 22,668,244 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 117 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.5. This one has done well, scoring higher than 75% 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 438,254 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 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.