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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Importance of medical data preprocessing in predictive modeling and risk factor discovery for the frailty syndrome
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, February 2019
|
| DOI | 10.1186/s12911-019-0747-6 |
| Pubmed ID | |
| Authors |
Andreas Philipp Hassler, Ernestina Menasalvas, Francisco José García-García, Leocadio Rodríguez-Mañas, Andreas Holzinger |
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 % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 151 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 151 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 28 | 19% |
| Student > Bachelor | 13 | 9% |
| Student > Master | 10 | 7% |
| Student > Postgraduate | 9 | 6% |
| Student > Doctoral Student | 8 | 5% |
| Other | 24 | 16% |
| Unknown | 59 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 23 | 15% |
| Computer Science | 18 | 12% |
| Nursing and Health Professions | 17 | 11% |
| Engineering | 10 | 7% |
| Psychology | 4 | 3% |
| Other | 12 | 8% |
| Unknown | 67 | 44% |
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 21 February 2019.
All research outputs
#18,669,294
of 23,130,383 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,591
of 2,015 outputs
Outputs of similar age
#267,154
of 352,293 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#35
of 53 outputs
Altmetric has tracked 23,130,383 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,015 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 9th percentile – i.e., 9% 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 352,293 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 53 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.