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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Systematic literature review of machine learning methods used in the analysis of real-world data for patient-provider decision making
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, February 2021
|
| DOI | 10.1186/s12911-021-01403-2 |
| Pubmed ID | |
| Authors |
Alan Brnabic, Lisa M. Hess |
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 % |
|---|---|---|
| United States | 1 | 25% |
| Spain | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 205 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 205 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 9% |
| Student > Master | 16 | 8% |
| Student > Bachelor | 16 | 8% |
| Student > Doctoral Student | 13 | 6% |
| Researcher | 12 | 6% |
| Other | 34 | 17% |
| Unknown | 95 | 46% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 28 | 14% |
| Medicine and Dentistry | 17 | 8% |
| Engineering | 15 | 7% |
| Nursing and Health Professions | 10 | 5% |
| Unspecified | 5 | 2% |
| Other | 26 | 13% |
| Unknown | 104 | 51% |
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 22 February 2021.
All research outputs
#13,379,032
of 23,283,373 outputs
Outputs from BMC Medical Informatics and Decision Making
#936
of 2,023 outputs
Outputs of similar age
#252,347
of 548,444 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#26
of 53 outputs
Altmetric has tracked 23,283,373 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 2,023 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 548,444 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 53 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.