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Geospatial analyses to identify clusters of adverse antenatal factors for targeted interventions

Overview of attention for article published in International Journal of Health Geographics, October 2013
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  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

policy
1 policy source
twitter
1 X user

Citations

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23 Dimensions

Readers on

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101 Mendeley
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Title
Geospatial analyses to identify clusters of adverse antenatal factors for targeted interventions
Published in
International Journal of Health Geographics, October 2013
DOI 10.1186/1476-072x-12-46
Pubmed ID
Authors

Shanley Chong, Michael Nelson, Roy Byun, Liz Harris, John Eastwood, Bin Jalaludin

Abstract

Late antenatal care and smoking during pregnancy are two important factors that are amenable to intervention. Despite the adverse health impacts of smoking during pregnancy and the health benefits of early first antenatal visit on both the mother and the unborn child, substantial proportions of women still smoke during pregnancy or have their first antenatal visit after 10 weeks gestation. This study was undertaken to assess the usefulness of geospatial methods in identifying communities at high risk of smoking during pregnancy and timing of the first antenatal visit, for which targeted interventions may be warranted, and more importantly, feasible.

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

Geographical breakdown

Country Count As %
Ghana 1 <1%
Unknown 100 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 20 20%
Researcher 16 16%
Professor 10 10%
Student > Bachelor 10 10%
Student > Doctoral Student 6 6%
Other 19 19%
Unknown 20 20%
Readers by discipline Count As %
Medicine and Dentistry 23 23%
Social Sciences 10 10%
Business, Management and Accounting 7 7%
Computer Science 6 6%
Economics, Econometrics and Finance 6 6%
Other 24 24%
Unknown 25 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 13 March 2021.
All research outputs
#7,960,512
of 25,374,917 outputs
Outputs from International Journal of Health Geographics
#263
of 654 outputs
Outputs of similar age
#69,337
of 224,529 outputs
Outputs of similar age from International Journal of Health Geographics
#6
of 11 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 654 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.7. This one has gotten more attention than average, scoring higher than 59% of its peers.
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 224,529 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.