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Infant feeding practices within a large electronic medical record database

Overview of attention for article published in BMC Pregnancy and Childbirth, January 2018
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  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Average Attention Score compared to outputs of the same age and source

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9 X users

Citations

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66 Dimensions

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116 Mendeley
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Title
Infant feeding practices within a large electronic medical record database
Published in
BMC Pregnancy and Childbirth, January 2018
DOI 10.1186/s12884-017-1633-9
Pubmed ID
Authors

Emily Bartsch, Alison L. Park, Jacqueline Young, Joel G. Ray, Karen Tu

Abstract

The emerging adoption of the electronic medical record (EMR) in primary care enables clinicians and researchers to efficiently examine epidemiological trends in child health, including infant feeding practices. We completed a population-based retrospective cohort study of 8815 singleton infants born at term in Ontario, Canada, April 2002 to March 2013. Newborn records were linked to the Electronic Medical Record Administrative data Linked Database (EMRALD™), which uses patient-level information from participating family practice EMRs across Ontario. We assessed exclusive breastfeeding patterns using an automated electronic search algorithm, with manual review of EMRs when the latter was not possible. We examined the rate of breastfeeding at visits corresponding to 2, 4 and 6 months of age, as well as sociodemographic factors associated with exclusive breastfeeding. Of the 8815 newborns, 1044 (11.8%) lacked breastfeeding information in their EMR. Rates of exclusive breastfeeding were 39.5% at 2 months, 32.4% at 4 months and 25.1% at 6 months. At age 6 months, exclusive breastfeeding rates were highest among mothers aged ≥40 vs. < 20 years (rate ratio [RR] 2.45, 95% confidence interval [CI] 1.62-3.68), urban vs. rural residence (RR 1.35, 95% CI 1.22-1.50), and highest vs. lowest income quintile (RR 1.18, 95% CI 1.02-1.36). Overall, immigrants had similar rates of exclusive breastfeeding as non-immigrants; yet, by age 6 months, among those residing in the lowest income quintile, immigrants were more likely to exclusively breastfeed than their non-immigrant counterparts (RR 1.43, 95% CI 1.12-1.83). We efficiently determined rates and factors associated with exclusive breastfeeding using data from a large EMR database.

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X Demographics

The data shown below were collected from the profiles of 9 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 116 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 116 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 17 15%
Researcher 15 13%
Student > Bachelor 10 9%
Student > Ph. D. Student 9 8%
Student > Doctoral Student 4 3%
Other 16 14%
Unknown 45 39%
Readers by discipline Count As %
Nursing and Health Professions 23 20%
Medicine and Dentistry 18 16%
Computer Science 6 5%
Social Sciences 5 4%
Psychology 4 3%
Other 13 11%
Unknown 47 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 06 January 2018.
All research outputs
#6,388,133
of 24,265,140 outputs
Outputs from BMC Pregnancy and Childbirth
#1,746
of 4,520 outputs
Outputs of similar age
#122,317
of 450,367 outputs
Outputs of similar age from BMC Pregnancy and Childbirth
#58
of 90 outputs
Altmetric has tracked 24,265,140 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 4,520 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.0. This one has gotten more attention than average, scoring higher than 61% 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 450,367 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 72% of its contemporaries.
We're also able to compare this research output to 90 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.