| Title |
Algorithm-based pain management for people with dementia in nursing homes
|
|---|---|
| Published in |
Cochrane database of systematic reviews, April 2022
|
| DOI | 10.1002/14651858.cd013339.pub2 |
| Pubmed ID | |
| Authors |
Christina Manietta, Valérie Labonté, Rüdiger Thiesemann, Erika G Sirsch, Ralph Möhler |
Twitter Demographics
The data shown below were collected from the profiles of 36 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 6 | 17% |
| United Kingdom | 5 | 14% |
| Hong Kong | 3 | 8% |
| Canada | 1 | 3% |
| Unknown | 21 | 58% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 29 | 81% |
| Scientists | 4 | 11% |
| Practitioners (doctors, other healthcare professionals) | 3 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 69 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 6 | 9% |
| Other | 5 | 7% |
| Librarian | 4 | 6% |
| Researcher | 4 | 6% |
| Student > Bachelor | 4 | 6% |
| Other | 12 | 17% |
| Unknown | 34 | 49% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 12 | 17% |
| Medicine and Dentistry | 7 | 10% |
| Psychology | 2 | 3% |
| Biochemistry, Genetics and Molecular Biology | 2 | 3% |
| Agricultural and Biological Sciences | 2 | 3% |
| Other | 6 | 9% |
| Unknown | 38 | 55% |
Attention Score in Context
This research output has an Altmetric Attention Score of 32. 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 26 May 2023.
All research outputs
#1,191,056
of 24,527,525 outputs
Outputs from Cochrane database of systematic reviews
#2,585
of 12,929 outputs
Outputs of similar age
#28,686
of 434,103 outputs
Outputs of similar age from Cochrane database of systematic reviews
#35
of 120 outputs
Altmetric has tracked 24,527,525 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,929 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 34.7. This one has done well, scoring higher than 80% 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 434,103 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 120 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 71% of its contemporaries.