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Overview of attention for article published in Behavior Genetics, January 1997
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

1 policy source
19 tweeters
1 Facebook page
1 video uploader


975 Dimensions

Readers on

473 Mendeley
2 CiteULike
Published in
Behavior Genetics, January 1997
DOI 10.1023/a:1025635913927
Pubmed ID

Hermine H. M. Maes, Michael C. Neale, Lindon J. Eaves


We review the literature on the familial resemblance of body mass index (BMI) and other adiposity measures and find strikingly convergent results for a variety of relationships. Results from twin studies suggest that genetic factors explain 50 to 90% of the variance in BMI. Family studies generally report estimates of parent-offspring and sibling correlations in agreement with heritabilities of 20 to 80%. Data from adoption studies are consistent with genetic factors accounting for 20 to 60% of the variation in BMI. Based on data from more than 25,000 twin pairs and 50,000 biological and adoptive family members, the weighted mean correlations are .74 for MZ twins, .32 for DZ twins, .25 for siblings, .19 for parent-offspring pairs, .06 for adoptive relatives, and .12 for spouses. Advantages and disadvantages of twin, family, and adoption studies are reviewed. Data from the Virginia 30,000, including twins and their parents, siblings, spouses, and children, were analyzed using a structural equation model (Stealth) which estimates additive and dominance genetic variance, cultural transmission, assortative mating, nonparental shared environment, and special twin and MZ twin environmental variance. Genetic factors explained 67% of the variance in males and females, of which half is due to dominance. A small proportion of the genetic variance was attributed to the consequences of assortative mating. The remainder of the variance is accounted for by unique environmental factors, of which 7% is correlated across twins. No evidence was found for a special MZ twin environment, thereby supporting the equal environment assumption. These results are consistent with other studies in suggesting that genetic factors play a significant role in the causes of individual differences in relative body weight and human adiposity.

Twitter Demographics

The data shown below were collected from the profiles of 19 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 473 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 1%
United Kingdom 6 1%
Finland 2 <1%
Spain 2 <1%
Russia 2 <1%
Chile 1 <1%
Australia 1 <1%
South Africa 1 <1%
France 1 <1%
Other 8 2%
Unknown 443 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 109 23%
Researcher 75 16%
Student > Master 75 16%
Student > Bachelor 70 15%
Student > Doctoral Student 29 6%
Other 78 16%
Unknown 37 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 109 23%
Medicine and Dentistry 96 20%
Biochemistry, Genetics and Molecular Biology 49 10%
Psychology 49 10%
Social Sciences 33 7%
Other 88 19%
Unknown 49 10%

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 19 September 2019.
All research outputs
of 14,282,317 outputs
Outputs from Behavior Genetics
of 755 outputs
Outputs of similar age
of 121,263 outputs
Outputs of similar age from Behavior Genetics
of 9 outputs
Altmetric has tracked 14,282,317 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 755 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.6. This one has done particularly well, scoring higher than 90% 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 121,263 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.