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Residual confounding explains the association between high parity and child mortality

Overview of attention for article published in BMC Public Health, September 2013
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

policy
1 policy source

Citations

dimensions_citation
19 Dimensions

Readers on

mendeley
98 Mendeley
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Title
Residual confounding explains the association between high parity and child mortality
Published in
BMC Public Health, September 2013
DOI 10.1186/1471-2458-13-s3-s5
Pubmed ID
Authors

Naoko Kozuki, Emily Sonneveldt, Neff Walker

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Ethiopia 1 1%
France 1 1%
Peru 1 1%
Unknown 94 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 18%
Student > Master 13 13%
Student > Ph. D. Student 11 11%
Student > Bachelor 11 11%
Student > Doctoral Student 8 8%
Other 17 17%
Unknown 20 20%
Readers by discipline Count As %
Medicine and Dentistry 27 28%
Social Sciences 22 22%
Nursing and Health Professions 10 10%
Economics, Econometrics and Finance 3 3%
Biochemistry, Genetics and Molecular Biology 2 2%
Other 12 12%
Unknown 22 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 16 September 2014.
All research outputs
#8,534,976
of 25,374,647 outputs
Outputs from BMC Public Health
#9,457
of 17,511 outputs
Outputs of similar age
#72,906
of 213,537 outputs
Outputs of similar age from BMC Public Health
#185
of 309 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 17,511 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one is in the 41st percentile – i.e., 41% 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 213,537 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 309 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.