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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Use of machine learning to identify patients at risk of sub-optimal adherence: study based on real-world data from 10,929 children using a connected auto-injector device
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, July 2022
|
| DOI | 10.1186/s12911-022-01918-2 |
| Pubmed ID | |
| Authors |
Amalia Spataru, Paula van Dommelen, Lilian Arnaud, Quentin Le Masne, Silvia Quarteroni, Ekaterina Koledova |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 18% |
| Librarian | 2 | 12% |
| Unknown | 12 | 71% |
| Readers by discipline | Count | As % |
|---|---|---|
| Arts and Humanities | 1 | 6% |
| Biochemistry, Genetics and Molecular Biology | 1 | 6% |
| Social Sciences | 1 | 6% |
| Medicine and Dentistry | 1 | 6% |
| Engineering | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 12 | 71% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 27 June 2023.
All research outputs
#16,102,205
of 24,501,737 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,294
of 2,084 outputs
Outputs of similar age
#232,359
of 426,045 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#24
of 57 outputs
Altmetric has tracked 24,501,737 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,084 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one is in the 34th percentile – i.e., 34% 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 426,045 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 57 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.