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The FTO (fat mass and obesity associated) gene codes for a novel member of the non-heme dioxygenase superfamily

Overview of attention for article published in BMC Molecular and Cell Biology, November 2007
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#39 of 1,233)
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

news
1 news outlet
wikipedia
1 Wikipedia page

Citations

dimensions_citation
166 Dimensions

Readers on

mendeley
108 Mendeley
citeulike
3 CiteULike
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Title
The FTO (fat mass and obesity associated) gene codes for a novel member of the non-heme dioxygenase superfamily
Published in
BMC Molecular and Cell Biology, November 2007
DOI 10.1186/1471-2091-8-23
Pubmed ID
Authors

Luis Sanchez-Pulido, Miguel A Andrade-Navarro

Abstract

Genetic variants in the FTO (fat mass and obesity associated) gene have been associated with an increased risk of obesity. However, the function of its protein product has not been experimentally studied and previously reported sequence similarity analyses suggested the absence of homologs in existing protein databases. Here, we present the first detailed computational analysis of the sequence and predicted structure of the protein encoded by FTO.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 108 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
United Kingdom 1 <1%
Germany 1 <1%
Spain 1 <1%
Slovakia 1 <1%
Unknown 102 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 23 21%
Student > Ph. D. Student 22 20%
Student > Master 17 16%
Student > Bachelor 13 12%
Student > Doctoral Student 6 6%
Other 17 16%
Unknown 10 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 38 35%
Biochemistry, Genetics and Molecular Biology 23 21%
Medicine and Dentistry 13 12%
Social Sciences 4 4%
Neuroscience 3 3%
Other 13 12%
Unknown 14 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 06 February 2024.
All research outputs
#3,138,675
of 25,374,647 outputs
Outputs from BMC Molecular and Cell Biology
#39
of 1,233 outputs
Outputs of similar age
#8,408
of 90,951 outputs
Outputs of similar age from BMC Molecular and Cell Biology
#1
of 15 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,233 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done particularly well, scoring higher than 96% 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 90,951 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 90% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.