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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The development of a web-based app employing machine learning for delirium prevention in long-term care facilities in South Korea
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, August 2022
|
| DOI | 10.1186/s12911-022-01966-8 |
| Pubmed ID | |
| Authors |
Kyoung Ja Moon, Chang-Sik Son, Jong-Ha Lee, Mina Park |
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 % |
|---|---|---|
| Switzerland | 1 | 25% |
| United States | 1 | 25% |
| United Kingdom | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 43 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Librarian | 2 | 5% |
| Student > Bachelor | 2 | 5% |
| Lecturer | 2 | 5% |
| Professor | 2 | 5% |
| Professor > Associate Professor | 2 | 5% |
| Other | 6 | 14% |
| Unknown | 27 | 63% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 5 | 12% |
| Engineering | 3 | 7% |
| Computer Science | 2 | 5% |
| Medicine and Dentistry | 2 | 5% |
| Psychology | 1 | 2% |
| Other | 3 | 7% |
| Unknown | 27 | 63% |
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 25 August 2022.
All research outputs
#15,347,198
of 24,330,613 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,155
of 2,074 outputs
Outputs of similar age
#207,787
of 420,682 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#18
of 58 outputs
Altmetric has tracked 24,330,613 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,074 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 38th percentile – i.e., 38% 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 420,682 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 58 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 60% of its contemporaries.