↓ Skip to main content

Bayesian spatial modelling of early childhood development in Australian regions

Overview of attention for article published in International Journal of Health Geographics, October 2020
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
2 X users

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
28 Mendeley
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.
Title
Bayesian spatial modelling of early childhood development in Australian regions
Published in
International Journal of Health Geographics, October 2020
DOI 10.1186/s12942-020-00237-x
Pubmed ID
Authors

Mu Li, Bernard Baffour, Alice Richardson

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 21%
Student > Master 5 18%
Other 2 7%
Student > Ph. D. Student 2 7%
Student > Doctoral Student 2 7%
Other 1 4%
Unknown 10 36%
Readers by discipline Count As %
Social Sciences 4 14%
Biochemistry, Genetics and Molecular Biology 3 11%
Nursing and Health Professions 3 11%
Arts and Humanities 2 7%
Medicine and Dentistry 2 7%
Other 5 18%
Unknown 9 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 28 July 2023.
All research outputs
#14,868,736
of 24,384,776 outputs
Outputs from International Journal of Health Geographics
#395
of 640 outputs
Outputs of similar age
#221,578
of 423,860 outputs
Outputs of similar age from International Journal of Health Geographics
#11
of 15 outputs
Altmetric has tracked 24,384,776 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 640 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one is in the 37th percentile – i.e., 37% 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 423,860 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.