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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Extensive phenotype data and machine learning in prediction of mortality in acute coronary syndrome – the MADDEC study
|
|---|---|
| Published in |
Annals of Medicine, April 2019
|
| DOI | 10.1080/07853890.2019.1596302 |
| Pubmed ID | |
| Authors |
Jussi A. Hernesniemi, Shadi Mahdiani, Juho A. Tynkkynen, Leo-Pekka Lyytikäinen, Pashupati P. Mishra, Terho Lehtimäki, Markku Eskola, Kjell Nikus, Kari Antila, Niku Oksala |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 68 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 16% |
| Student > Master | 9 | 13% |
| Student > Ph. D. Student | 8 | 12% |
| Student > Doctoral Student | 4 | 6% |
| Other | 4 | 6% |
| Other | 10 | 15% |
| Unknown | 22 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 20 | 29% |
| Computer Science | 10 | 15% |
| Biochemistry, Genetics and Molecular Biology | 4 | 6% |
| Nursing and Health Professions | 2 | 3% |
| Engineering | 2 | 3% |
| Other | 3 | 4% |
| Unknown | 27 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 09 May 2020.
All research outputs
#23,391,126
of 26,017,215 outputs
Outputs from Annals of Medicine
#1,501
of 1,671 outputs
Outputs of similar age
#319,604
of 366,397 outputs
Outputs of similar age from Annals of Medicine
#25
of 28 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,671 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.0. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 366,397 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.