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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Predicting unplanned medical visits among patients with diabetes: translation from machine learning to clinical implementation
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, March 2021
|
| DOI | 10.1186/s12911-021-01474-1 |
| Pubmed ID | |
| Authors |
Arielle Selya, Drake Anshutz, Emily Griese, Tess L. Weber, Benson Hsu, Cheryl Ward |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Burkina Faso | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 65 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 9% |
| Student > Doctoral Student | 5 | 8% |
| Librarian | 4 | 6% |
| Student > Master | 4 | 6% |
| Student > Bachelor | 3 | 5% |
| Other | 11 | 17% |
| Unknown | 32 | 49% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 6 | 9% |
| Computer Science | 6 | 9% |
| Engineering | 4 | 6% |
| Social Sciences | 3 | 5% |
| Agricultural and Biological Sciences | 2 | 3% |
| Other | 7 | 11% |
| Unknown | 37 | 57% |
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 04 May 2021.
All research outputs
#13,575,923
of 23,622,736 outputs
Outputs from BMC Medical Informatics and Decision Making
#931
of 2,028 outputs
Outputs of similar age
#197,565
of 432,983 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#28
of 59 outputs
Altmetric has tracked 23,622,736 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,028 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 52% 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 432,983 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 53% of its contemporaries.
We're also able to compare this research output to 59 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 52% of its contemporaries.