| Title |
Customised versus population-based growth charts as a screening tool for detecting small for gestational age infants in low-risk pregnant women
|
|---|---|
| Published in |
Cochrane database of systematic reviews, May 2014
|
| DOI | 10.1002/14651858.cd008549.pub3 |
| Pubmed ID | |
| Authors |
Angela E Carberry, Adrienne Gordon, Diana M Bond, Jon Hyett, Camille H Raynes-Greenow, Heather E Jeffery |
| Abstract |
Fetal growth restriction is defined as failure to reach growth potential and considered one of the major complications of pregnancy. These infants are often, although not universally, small for gestational age (SGA). SGA is defined as a weight less than a specified percentile (usually the 10th percentile). Identification of SGA infants is important because these infants are at increased risk of perinatal morbidity and mortality. Screening for SGA is a challenge for all maternity care providers and current methods of clinical assessment fail to detect many infants who are SGA. Large observational studies suggest that customised growth charts may be better able to differentiate between constitutional and pathologic smallness. Customised charts adjust for physiological variables such as maternal weight and height, ethnicity and parity. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 226 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | <1% |
| France | 1 | <1% |
| Norway | 1 | <1% |
| Australia | 1 | <1% |
| Unknown | 222 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 36 | 16% |
| Student > Master | 34 | 15% |
| Student > Ph. D. Student | 29 | 13% |
| Researcher | 17 | 8% |
| Other | 12 | 5% |
| Other | 37 | 16% |
| Unknown | 61 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 83 | 37% |
| Nursing and Health Professions | 35 | 15% |
| Psychology | 14 | 6% |
| Social Sciences | 6 | 3% |
| Computer Science | 5 | 2% |
| Other | 17 | 8% |
| Unknown | 66 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 25 November 2021.
All research outputs
#6,941,235
of 22,759,618 outputs
Outputs from Cochrane database of systematic reviews
#8,562
of 12,314 outputs
Outputs of similar age
#66,902
of 227,064 outputs
Outputs of similar age from Cochrane database of systematic reviews
#164
of 227 outputs
Altmetric has tracked 22,759,618 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 12,314 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 30.4. This one is in the 29th percentile – i.e., 29% of its peers scored the same or lower than it.
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We're also able to compare this research output to 227 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.