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From fragmentation toward integration: a preliminary study of a new long-term care policy in a fast-aging country

Overview of attention for article published in BMC Geriatrics, June 2019
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Mentioned by

twitter
1 tweeter

Readers on

mendeley
3 Mendeley
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Title
From fragmentation toward integration: a preliminary study of a new long-term care policy in a fast-aging country
Published in
BMC Geriatrics, June 2019
DOI 10.1186/s12877-019-1172-5
Pubmed ID
Authors

Tzu-Ying Chiu, Hsiao-Wei Yu, Rei Goto, Wen-Lin Lai, Hsi-Chang Li, En-Tien Tsai, Ya-Mei Chen

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 33%
Researcher 1 33%
Unspecified 1 33%
Readers by discipline Count As %
Unspecified 1 33%
Social Sciences 1 33%
Medicine and Dentistry 1 33%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 15 July 2019.
All research outputs
#12,088,104
of 13,617,860 outputs
Outputs from BMC Geriatrics
#1,357
of 1,436 outputs
Outputs of similar age
#205,844
of 246,993 outputs
Outputs of similar age from BMC Geriatrics
#1
of 1 outputs
Altmetric has tracked 13,617,860 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,436 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.3. This one is in the 1st percentile – i.e., 1% 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 246,993 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them