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Inborn errors of metabolism identified via newborn screening: Ten-year incidence data and costs of nutritional interventions for research agenda planning

Overview of attention for article published in Molecular Genetics & Metabolism, July 2014
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Title
Inborn errors of metabolism identified via newborn screening: Ten-year incidence data and costs of nutritional interventions for research agenda planning
Published in
Molecular Genetics & Metabolism, July 2014
DOI 10.1016/j.ymgme.2014.07.009
Pubmed ID
Authors

Bradford L. Therrell, Michele A. Lloyd-Puryear, Kathryn M. Camp, Marie Y. Mann

Abstract

Inborn errors of metabolism (IEM) are genetic disorders in which specific enzyme defects interfere with the normal metabolism of exogenous (dietary) or endogenous protein, carbohydrate, or fat. In the U.S., many IEM are detected through state newborn screening (NBS) programs. To inform research on IEM and provide necessary resources for researchers, we are providing: tabulation of ten-year state NBS data for selected IEM detected through NBS; costs of medical foods used in the management of IEM; and an assessment of corporate policies regarding provision of nutritional interventions at no or reduced cost to individuals with IEM. The calculated IEM incidences are based on analyses of ten-year data (2001-2011) from the National Newborn Screening Information System (NNSIS). Costs to feed an average person with an IEM were approximated by determining costs to feed an individual with an IEM, minus the annual expenditure for food for an individual without an IEM. Both the incidence and costs of nutritional intervention data will be useful in future research concerning the impact of IEM disorders on families, individuals and society.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 121 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 <1%
Unknown 120 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 14%
Student > Master 11 9%
Student > Ph. D. Student 10 8%
Student > Bachelor 10 8%
Student > Doctoral Student 7 6%
Other 27 22%
Unknown 39 32%
Readers by discipline Count As %
Medicine and Dentistry 16 13%
Biochemistry, Genetics and Molecular Biology 15 12%
Agricultural and Biological Sciences 14 12%
Nursing and Health Professions 9 7%
Social Sciences 6 5%
Other 17 14%
Unknown 44 36%
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 03 August 2014.
All research outputs
#22,778,604
of 25,394,764 outputs
Outputs from Molecular Genetics & Metabolism
#2,207
of 2,384 outputs
Outputs of similar age
#207,909
of 241,868 outputs
Outputs of similar age from Molecular Genetics & Metabolism
#15
of 18 outputs
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