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Development and validation of traditional

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

twitter
1 tweeter

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
13 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 and Alternative Medicine, November 2019
DOI 10.1186/s12906-019-2733-z
Pubmed ID
Authors

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

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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 3 23%
Student > Bachelor 2 15%
Student > Doctoral Student 2 15%
Student > Master 2 15%
Researcher 1 8%
Other 1 8%
Unknown 2 15%
Readers by discipline Count As %
Nursing and Health Professions 3 23%
Medicine and Dentistry 2 15%
Biochemistry, Genetics and Molecular Biology 2 15%
Psychology 1 8%
Linguistics 1 8%
Other 2 15%
Unknown 2 15%

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
#14,346,050
of 16,266,822 outputs
Outputs from BMC Complementary and Alternative Medicine
#2,382
of 2,969 outputs
Outputs of similar age
#321,604
of 386,247 outputs
Outputs of similar age from BMC Complementary and Alternative Medicine
#199
of 331 outputs
Altmetric has tracked 16,266,822 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 2,969 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. 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 386,247 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 331 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.