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Measuring newborn foot length to identify small babies in need of extra care: a cross sectional hospital based study with community follow-up in Tanzania

Overview of attention for article published in BMC Public Health, October 2010
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1 X user

Citations

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Title
Measuring newborn foot length to identify small babies in need of extra care: a cross sectional hospital based study with community follow-up in Tanzania
Published in
BMC Public Health, October 2010
DOI 10.1186/1471-2458-10-624
Pubmed ID
Authors

Tanya Marchant, Jennie Jaribu, Suzanne Penfold, Marcel Tanner, Joanna Armstrong Schellenberg

Abstract

Neonatal mortality because of low birth weight or prematurity remains high in many developing country settings. This research aimed to estimate the sensitivity and specificity, and the positive and negative predictive values of newborn foot length to identify babies who are low birth weight or premature and in need of extra care in a rural African setting.

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

Geographical breakdown

Country Count As %
Indonesia 1 1%
Hong Kong 1 1%
India 1 1%
Iran, Islamic Republic of 1 1%
United States 1 1%
Unknown 93 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 14%
Student > Postgraduate 12 12%
Student > Master 10 10%
Student > Bachelor 10 10%
Student > Ph. D. Student 8 8%
Other 26 27%
Unknown 18 18%
Readers by discipline Count As %
Medicine and Dentistry 46 47%
Social Sciences 8 8%
Nursing and Health Professions 4 4%
Agricultural and Biological Sciences 4 4%
Economics, Econometrics and Finance 3 3%
Other 13 13%
Unknown 20 20%
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 22 February 2012.
All research outputs
#18,304,874
of 22,663,150 outputs
Outputs from BMC Public Health
#12,753
of 14,743 outputs
Outputs of similar age
#88,523
of 99,142 outputs
Outputs of similar age from BMC Public Health
#71
of 82 outputs
Altmetric has tracked 22,663,150 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,743 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one is in the 6th percentile – i.e., 6% 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 99,142 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 82 others from the same source and published within six weeks on either side of this one. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.