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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Predicting diabetes clinical outcomes using longitudinal risk factor trajectories
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, January 2020
|
| DOI | 10.1186/s12911-019-1009-3 |
| Pubmed ID | |
| Authors |
Gyorgy J. Simon, Kevin A. Peterson, M. Regina Castro, Michael S. Steinbach, Vipin Kumar, Pedro J. Caraballo |
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 % |
|---|---|---|
| United States | 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 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 53 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 13% |
| Other | 5 | 9% |
| Student > Master | 5 | 9% |
| Student > Ph. D. Student | 4 | 8% |
| Student > Bachelor | 4 | 8% |
| Other | 12 | 23% |
| Unknown | 16 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 10 | 19% |
| Computer Science | 6 | 11% |
| Nursing and Health Professions | 5 | 9% |
| Economics, Econometrics and Finance | 3 | 6% |
| Agricultural and Biological Sciences | 1 | 2% |
| Other | 8 | 15% |
| Unknown | 20 | 38% |
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 12 January 2020.
All research outputs
#18,707,884
of 23,186,937 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,594
of 2,017 outputs
Outputs of similar age
#334,692
of 456,657 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#52
of 70 outputs
Altmetric has tracked 23,186,937 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 2,017 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 456,657 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 70 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.