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Development and validation of traditional

Overview of attention for article published in BMC Complementary Medicine and Therapies, November 2019
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Mentioned by

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1 X user

Citations

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8 Dimensions

Readers on

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29 Mendeley
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Title
Development and validation of traditional & complementary medicine (TCM) scales for nurses: Using structural equation modelling (SEM)
Published in
BMC Complementary Medicine and Therapies, November 2019
DOI 10.1186/s12906-019-2733-z
Pubmed ID
Authors

Hsiao-Yun Chang, Chia-Lun Lo, Yun-Ying Hung

X Demographics

X Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 14%
Student > Doctoral Student 3 10%
Student > Postgraduate 3 10%
Researcher 3 10%
Unspecified 2 7%
Other 4 14%
Unknown 10 34%
Readers by discipline Count As %
Nursing and Health Professions 6 21%
Unspecified 2 7%
Materials Science 2 7%
Medicine and Dentistry 2 7%
Linguistics 1 3%
Other 6 21%
Unknown 10 34%
Attention Score in Context

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 24 November 2019.
All research outputs
#20,592,137
of 23,177,498 outputs
Outputs from BMC Complementary Medicine and Therapies
#3,008
of 3,668 outputs
Outputs of similar age
#383,255
of 457,712 outputs
Outputs of similar age from BMC Complementary Medicine and Therapies
#55
of 92 outputs
Altmetric has tracked 23,177,498 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 3,668 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.8. 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 457,712 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 92 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.