You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
An ensemble-based feature selection framework to select risk factors of childhood obesity for policy decision making
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, July 2021
|
| DOI | 10.1186/s12911-021-01580-0 |
| Pubmed ID | |
| Authors |
Xi Shi, Gorana Nikolic, Gorka Epelde, Mónica Arrúe, Joseba Bidaurrazaga Van-Dierdonck, Roberto Bilbao, Bart De Moor |
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 % |
|---|---|---|
| Australia | 2 | 50% |
| Spain | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 35 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 9% |
| Student > Master | 3 | 9% |
| Student > Ph. D. Student | 2 | 6% |
| Student > Postgraduate | 2 | 6% |
| Lecturer | 1 | 3% |
| Other | 4 | 11% |
| Unknown | 20 | 57% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 3 | 9% |
| Medicine and Dentistry | 3 | 9% |
| Nursing and Health Professions | 2 | 6% |
| Agricultural and Biological Sciences | 1 | 3% |
| Psychology | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 22 | 63% |
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 06 August 2021.
All research outputs
#12,928,513
of 23,310,485 outputs
Outputs from BMC Medical Informatics and Decision Making
#853
of 2,024 outputs
Outputs of similar age
#170,474
of 438,215 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#27
of 62 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,024 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 57% 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 438,215 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 60% of its contemporaries.
We're also able to compare this research output to 62 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 54% of its contemporaries.