You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
Title |
Effectiveness of a community-integrated intermediary care (CIIC) service model to enhance family-based long-term care for Thai older adults in Chiang Mai, Thailand: a cluster-randomized controlled trial TCTR20190412004
|
---|---|
Published in |
Health Research Policy and Systems, November 2022
|
DOI | 10.1186/s12961-022-00911-5 |
Pubmed ID | |
Authors |
Myo Nyein Aung, Saiyud Moolphate, Thin Nyein Nyein Aung, Yuka Koyanagi, Akrapon Kurusattra, Sutatip Chantaraksa, Siripen Supakankunti, Motoyuki Yuasa |
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 % |
---|---|---|
Unknown | 3 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 33% |
Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 83 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 17 | 20% |
Unspecified | 8 | 10% |
Researcher | 8 | 10% |
Lecturer | 6 | 7% |
Student > Postgraduate | 4 | 5% |
Other | 13 | 16% |
Unknown | 27 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Nursing and Health Professions | 19 | 23% |
Medicine and Dentistry | 14 | 17% |
Unspecified | 8 | 10% |
Social Sciences | 3 | 4% |
Engineering | 2 | 2% |
Other | 9 | 11% |
Unknown | 28 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 50. 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 June 2023.
All research outputs
#800,138
of 24,495,755 outputs
Outputs from Health Research Policy and Systems
#59
of 1,312 outputs
Outputs of similar age
#18,007
of 469,244 outputs
Outputs of similar age from Health Research Policy and Systems
#3
of 36 outputs
Altmetric has tracked 24,495,755 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,312 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.0. This one has done particularly well, scoring higher than 95% 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 469,244 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 96% of its contemporaries.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.