Title |
Interruption of scheduled, automatic feeding and reduction of excess energy intake in toddlers
|
---|---|
Published in |
International Journal of General Medicine, January 2013
|
DOI | 10.2147/ijgm.s39946 |
Pubmed ID | |
Authors |
Mario Ciampolini, J Thomas Brenna, Valerio Giannellini, Stefania Bini |
Abstract |
Childhood obesity due to the consumption of excess calories is a severe problem in developed countries. In a previous investigation on toddlers, hospital laboratory measurements showed an association of food-demand behavior with constant lower blood glucose before meals than for scheduled meals. We hypothesize that maternal scheduling of meals for toddlers results in excess energy intake compared to feeding only on demand (previously "on request"). |
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 % |
---|---|---|
Romania | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 50% |
Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 30 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 6 | 20% |
Student > Ph. D. Student | 5 | 17% |
Researcher | 4 | 13% |
Student > Bachelor | 2 | 7% |
Student > Postgraduate | 2 | 7% |
Other | 4 | 13% |
Unknown | 7 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 7 | 23% |
Agricultural and Biological Sciences | 4 | 13% |
Psychology | 4 | 13% |
Nursing and Health Professions | 2 | 7% |
Social Sciences | 2 | 7% |
Other | 3 | 10% |
Unknown | 8 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 24 November 2014.
All research outputs
#15,305,492
of 25,584,565 outputs
Outputs from International Journal of General Medicine
#528
of 1,627 outputs
Outputs of similar age
#172,702
of 289,948 outputs
Outputs of similar age from International Journal of General Medicine
#6
of 10 outputs
Altmetric has tracked 25,584,565 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,627 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.5. This one has gotten more attention than average, scoring higher than 65% 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 289,948 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.