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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Applying machine learning to predict future adherence to physical activity programs
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, August 2019
|
| DOI | 10.1186/s12911-019-0890-0 |
| Pubmed ID | |
| Authors |
Mo Zhou, Yoshimi Fukuoka, Ken Goldberg, Eric Vittinghoff, Anil Aswani |
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 122 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 122 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 13% |
| Student > Bachelor | 15 | 12% |
| Student > Master | 13 | 11% |
| Other | 8 | 7% |
| Researcher | 7 | 6% |
| Other | 17 | 14% |
| Unknown | 46 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 17 | 14% |
| Medicine and Dentistry | 12 | 10% |
| Nursing and Health Professions | 7 | 6% |
| Social Sciences | 7 | 6% |
| Engineering | 5 | 4% |
| Other | 24 | 20% |
| Unknown | 50 | 41% |
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 15 June 2021.
All research outputs
#22,980,826
of 25,622,179 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,948
of 2,155 outputs
Outputs of similar age
#303,251
of 352,698 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#39
of 41 outputs
Altmetric has tracked 25,622,179 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 2,155 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. 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 352,698 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 41 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.