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Metabolomic profiles of hepatocellular carcinoma in a European prospective cohort

Overview of attention for article published in BMC Medicine, September 2015
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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 (88th percentile)
  • Average Attention Score compared to outputs of the same age and source

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1 news outlet
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9 X users
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1 Facebook page

Citations

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94 Dimensions

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138 Mendeley
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Title
Metabolomic profiles of hepatocellular carcinoma in a European prospective cohort
Published in
BMC Medicine, September 2015
DOI 10.1186/s12916-015-0462-9
Pubmed ID
Authors

Anne Fages, Talita Duarte-Salles, Magdalena Stepien, Pietro Ferrari, Veronika Fedirko, Clément Pontoizeau, Antonia Trichopoulou, Krasimira Aleksandrova, Anne Tjønneland, Anja Olsen, Françoise Clavel-Chapelon, Marie-Christine Boutron-Ruault, Gianluca Severi, Rudolf Kaaks, Tilman Kuhn, Anna Floegel, Heiner Boeing, Pagona Lagiou, Christina Bamia, Dimitrios Trichopoulos, Domenico Palli, Valeria Pala, Salvatore Panico, Rosario Tumino, Paolo Vineis, H. Bas Bueno-de-Mesquita, Petra H. Peeters, Elisabete Weiderpass, Antonio Agudo, Esther Molina-Montes, José María Huerta, Eva Ardanaz, Miren Dorronsoro, Klas Sjöberg, Bodil Ohlsson, Kay-Tee Khaw, Nick Wareham, Ruth C. Travis, Julie A. Schmidt, Amanda Cross, Marc Gunter, Elio Riboli, Augustin Scalbert, Isabelle Romieu, Benedicte Elena-Herrmann, Mazda Jenab

Abstract

Hepatocellular carcinoma (HCC), the most prevalent form of liver cancer, is difficult to diagnose and has limited treatment options with a low survival rate. Aside from a few key risk factors, such as hepatitis, high alcohol consumption, smoking, obesity, and diabetes, there is incomplete etiologic understanding of the disease and little progress in identification of early risk biomarkers. To address these aspects, an untargeted nuclear magnetic resonance metabolomic approach was applied to pre-diagnostic serum samples obtained from first incident, primary HCC cases (n = 114) and matched controls (n = 222) identified from amongst the participants of a large European prospective cohort. A metabolic pattern associated with HCC risk comprised of perturbations in fatty acid oxidation and amino acid, lipid, and carbohydrate metabolism was observed. Sixteen metabolites of either endogenous or exogenous origin were found to be significantly associated with HCC risk. The influence of hepatitis infection and potential liver damage was assessed, and further analyses were made to distinguish patterns of early or later diagnosis. Our results show clear metabolic alterations from early stages of HCC development with application for better etiologic understanding, prevention, and early detection of this increasingly common cancer.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 138 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 1 <1%
Unknown 137 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 26 19%
Student > Master 18 13%
Student > Ph. D. Student 15 11%
Student > Bachelor 14 10%
Student > Doctoral Student 8 6%
Other 22 16%
Unknown 35 25%
Readers by discipline Count As %
Medicine and Dentistry 38 28%
Biochemistry, Genetics and Molecular Biology 11 8%
Agricultural and Biological Sciences 10 7%
Chemistry 6 4%
Nursing and Health Professions 5 4%
Other 24 17%
Unknown 44 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 11 December 2019.
All research outputs
#2,163,580
of 23,301,510 outputs
Outputs from BMC Medicine
#1,419
of 3,507 outputs
Outputs of similar age
#31,276
of 275,940 outputs
Outputs of similar age from BMC Medicine
#52
of 94 outputs
Altmetric has tracked 23,301,510 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,507 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.7. This one has gotten more attention than average, scoring higher than 59% 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 275,940 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 94 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.