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Modeling Determinants of Health Expenditures in Malaysia: Evidence from Time Series Analysis

Overview of attention for article published in Frontiers in Pharmacology, March 2016
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1 X user

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97 Mendeley
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Title
Modeling Determinants of Health Expenditures in Malaysia: Evidence from Time Series Analysis
Published in
Frontiers in Pharmacology, March 2016
DOI 10.3389/fphar.2016.00069
Pubmed ID
Authors

Habib N. Khan, Radzuan B. Razali, Afza B. Shafie

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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.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 97 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 22 23%
Student > Ph. D. Student 17 18%
Student > Master 9 9%
Professor > Associate Professor 4 4%
Lecturer 3 3%
Other 14 14%
Unknown 28 29%
Readers by discipline Count As %
Economics, Econometrics and Finance 26 27%
Business, Management and Accounting 12 12%
Medicine and Dentistry 9 9%
Social Sciences 5 5%
Nursing and Health Professions 3 3%
Other 13 13%
Unknown 29 30%
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 30 March 2016.
All research outputs
#20,317,110
of 22,858,915 outputs
Outputs from Frontiers in Pharmacology
#10,100
of 16,130 outputs
Outputs of similar age
#254,730
of 300,631 outputs
Outputs of similar age from Frontiers in Pharmacology
#65
of 94 outputs
Altmetric has tracked 22,858,915 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 16,130 research outputs from this source. They receive a mean Attention Score of 4.9. 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 300,631 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 94 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.