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X Demographics
Mendeley readers
Attention Score in Context
Title |
Effects of trimester-specific and total gestational weight gain on children’s anthropometrics
|
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Published in |
BMC Pregnancy and Childbirth, October 2014
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DOI | 10.1186/1471-2393-14-351 |
Pubmed ID | |
Authors |
Otmar Bayer, Regina Ensenauer, Ina Nehring, Rüdiger von Kries |
Abstract |
Gestational weight gain (GWG) has been shown to be a risk factor for overweight in offspring.Aim of this study was to quantify the contributions of trimester-specific and total GWG on offspring's BMI and waist circumference (WC). This is of interest for the design of interventions targeted at women showing a high GWG in early pregnancy. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 50% |
Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Denmark | 1 | 3% |
Germany | 1 | 3% |
Unknown | 35 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 7 | 19% |
Student > Master | 7 | 19% |
Researcher | 4 | 11% |
Student > Postgraduate | 3 | 8% |
Student > Bachelor | 2 | 5% |
Other | 8 | 22% |
Unknown | 6 | 16% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 16 | 43% |
Agricultural and Biological Sciences | 3 | 8% |
Nursing and Health Professions | 3 | 8% |
Social Sciences | 2 | 5% |
Biochemistry, Genetics and Molecular Biology | 1 | 3% |
Other | 4 | 11% |
Unknown | 8 | 22% |
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 02 November 2014.
All research outputs
#15,309,583
of 22,769,322 outputs
Outputs from BMC Pregnancy and Childbirth
#2,984
of 4,177 outputs
Outputs of similar age
#148,249
of 255,126 outputs
Outputs of similar age from BMC Pregnancy and Childbirth
#65
of 86 outputs
Altmetric has tracked 22,769,322 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,177 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.8. This one is in the 20th percentile – i.e., 20% 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 255,126 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 86 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.