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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#7 of 2,485)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
69 news outlets
blogs
17 blogs
policy
1 policy source
twitter
157 tweeters
facebook
10 Facebook pages
googleplus
18 Google+ users
reddit
1 Redditor

Citations

dimensions_citation
76 Dimensions

Readers on

mendeley
244 Mendeley
citeulike
2 CiteULike
Title
Genome-wide meta-analysis identifies six novel loci associated with habitual coffee consumption
Published in
Molecular Psychiatry, October 2014
DOI 10.1038/mp.2014.107
Pubmed ID
Authors

M C Cornelis, E M Byrne, T Esko, M A Nalls, A Ganna, N Paynter, K L Monda, N Amin, K Fischer, F Renstrom, J S Ngwa, V Huikari, A Cavadino, I M Nolte, A Teumer, K Yu, P Marques-Vidal, R Rawal, A Manichaikul, M K Wojczynski, J M Vink, J H Zhao, G Burlutsky, J Lahti, V Mikkilä, R N Lemaitre, J Eriksson, S K Musani, T Tanaka, F Geller, J Luan, J Hui, R Mägi, M Dimitriou, M E Garcia, W-K Ho, M J Wright, L M Rose, P K E Magnusson, N L Pedersen, D Couper, B A Oostra, A Hofman, M A Ikram, H W Tiemeier, A G Uitterlinden, F J A van Rooij, I Barroso, I Johansson, L Xue, M Kaakinen, L Milani, C Power, H Snieder, R P Stolk, S E Baumeister, R Biffar, F Gu, F Bastardot, Z Kutalik, D R Jacobs, N G Forouhi, E Mihailov, L Lind, C Lindgren, K Michaëlsson, A Morris, M Jensen, K-T Khaw, R N Luben, J J Wang, S Männistö, M-M Perälä, M Kähönen, T Lehtimäki, J Viikari, D Mozaffarian, K Mukamal, B M Psaty, A Döring, A C Heath, G W Montgomery, N Dahmen, T Carithers, K L Tucker, L Ferrucci, H A Boyd, M Melbye, J L Treur, D Mellström, J J Hottenga, I Prokopenko, A Tönjes, P Deloukas, S Kanoni, M Lorentzon, D K Houston, Y Liu, J Danesh, A Rasheed, M A Mason, A B Zonderman, L Franke, B S Kristal, J Karjalainen, D R Reed, H-J Westra, M K Evans, D Saleheen, T B Harris, G Dedoussis, G Curhan, M Stumvoll, J Beilby, L R Pasquale, B Feenstra, S Bandinelli, J M Ordovas, A T Chan, U Peters, C Ohlsson, C Gieger, N G Martin, M Waldenberger, D S Siscovick, O Raitakari, J G Eriksson, P Mitchell, D J Hunter, P Kraft, E B Rimm, D I Boomsma, I B Borecki, R J F Loos, N J Wareham, P Vollenweider, N Caporaso, H J Grabe, M L Neuhouser, B H R Wolffenbuttel, F B Hu, E Hyppönen, M-R Järvelin, L A Cupples, P W Franks, P M Ridker, C M van Duijn, G Heiss, A Metspalu, K E North, E Ingelsson, J A Nettleton, R M van Dam, D I Chasman

Abstract

Coffee, a major dietary source of caffeine, is among the most widely consumed beverages in the world and has received considerable attention regarding health risks and benefits. We conducted a genome-wide (GW) meta-analysis of predominately regular-type coffee consumption (cups per day) among up to 91 462 coffee consumers of European ancestry with top single-nucleotide polymorphisms (SNPs) followed-up in ~30 062 and 7964 coffee consumers of European and African-American ancestry, respectively. Studies from both stages were combined in a trans-ethnic meta-analysis. Confirmed loci were examined for putative functional and biological relevance. Eight loci, including six novel loci, met GW significance (log10Bayes factor (BF)>5.64) with per-allele effect sizes of 0.03-0.14 cups per day. Six are located in or near genes potentially involved in pharmacokinetics (ABCG2, AHR, POR and CYP1A2) and pharmacodynamics (BDNF and SLC6A4) of caffeine. Two map to GCKR and MLXIPL genes related to metabolic traits but lacking known roles in coffee consumption. Enhancer and promoter histone marks populate the regions of many confirmed loci and several potential regulatory SNPs are highly correlated with the lead SNP of each. SNP alleles near GCKR, MLXIPL, BDNF and CYP1A2 that were associated with higher coffee consumption have previously been associated with smoking initiation, higher adiposity and fasting insulin and glucose but lower blood pressure and favorable lipid, inflammatory and liver enzyme profiles (P<5 × 10(-8)).Our genetic findings among European and African-American adults reinforce the role of caffeine in mediating habitual coffee consumption and may point to molecular mechanisms underlying inter-individual variability in pharmacological and health effects of coffee.Molecular Psychiatry advance online publication, 7 October 2014; doi:10.1038/mp.2014.107.

Twitter Demographics

The data shown below were collected from the profiles of 157 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 244 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 244 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 <1%
Other 2 <1%
Professor > Associate Professor 2 <1%
Student > Master 2 <1%
Student > Doctoral Student 1 <1%
Other 1 <1%
Unknown 234 96%
Readers by discipline Count As %
Medicine and Dentistry 2 <1%
Psychology 2 <1%
Immunology and Microbiology 1 <1%
Agricultural and Biological Sciences 1 <1%
Biochemistry, Genetics and Molecular Biology 1 <1%
Other 3 1%
Unknown 234 96%

Attention Score in Context

This research output has an Altmetric Attention Score of 768. 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 December 2018.
All research outputs
#5,521
of 12,292,527 outputs
Outputs from Molecular Psychiatry
#7
of 2,485 outputs
Outputs of similar age
#87
of 222,833 outputs
Outputs of similar age from Molecular Psychiatry
#1
of 62 outputs
Altmetric has tracked 12,292,527 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,485 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.9. This one has done particularly well, scoring higher than 99% 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 222,833 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 99% of its contemporaries.
We're also able to compare this research output to 62 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 98% of its contemporaries.