↓ Skip to main content
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#3 of 1,926)
  • 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
62 news outlets
blogs
15 blogs
policy
1 policy source
twitter
159 tweeters
facebook
10 Facebook pages
googleplus
18 Google+ users
reddit
1 Redditor

Readers on

mendeley
157 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, Cornelis MC, Byrne EM, Esko T, Nalls MA, Ganna A, Paynter N, Monda KL, Amin N, Fischer K, Renstrom F, Ngwa JS, Huikari V, Cavadino A, Nolte IM, Teumer A, Yu K, Marques-Vidal P, Rawal R, Manichaikul A, Wojczynski MK, Vink JM, Zhao JH, Burlutsky G, Lahti J, Mikkilä V, Lemaitre RN, Eriksson J, Musani SK, Tanaka T, Geller F, Luan J, Hui J, Mägi R, Dimitriou M, Garcia ME, Ho WK, Wright MJ, Rose LM, Magnusson PK, Pedersen NL, Couper D, Oostra BA, Hofman A, Ikram MA, Tiemeier HW, Uitterlinden AG, van Rooij FJ, Barroso I, Johansson I, Xue L, Kaakinen M, Milani L, Power C, Snieder H, Stolk RP, Baumeister SE, Biffar R, Gu F, Bastardot F, Kutalik Z, Jacobs DR Jr, Forouhi NG, Mihailov E, Lind L, Lindgren C, Michaëlsson K, Morris A, Jensen M, Khaw KT, Luben RN, Wang JJ, Männistö S, Perälä MM, Kähönen M, Lehtimäki T, Viikari J, Mozaffarian D, Mukamal K, Psaty BM, Döring A, Heath AC, Montgomery GW, Dahmen N, Carithers T, Tucker KL, Ferrucci L, Boyd HA, Melbye M, Treur JL, Mellström D, Hottenga JJ, Prokopenko I, Tönjes A, Deloukas P, Kanoni S, Lorentzon M, Houston DK, Liu Y, Danesh J, Rasheed A, Mason MA, Zonderman AB, Franke L, Kristal BS, Karjalainen J, Reed DR, Westra HJ, Evans MK, Saleheen D, Harris TB, Dedoussis G, Curhan G, Stumvoll M, Beilby J, Pasquale LR, Feenstra B, Bandinelli S, Ordovas JM, Chan AT, Peters U, Ohlsson C, Gieger C, Martin NG, Waldenberger M, Siscovick DS, Raitakari O, Eriksson JG, Mitchell P, Hunter DJ, Kraft P, Rimm EB, Boomsma DI, Borecki IB, Loos RJ, Wareham NJ, Vollenweider P, Caporaso N, Grabe HJ, Neuhouser ML, Wolffenbuttel BH, Hu FB, Hyppönen E, Järvelin MR, Cupples LA, Franks PW, Ridker PM, van Duijn CM, Heiss G, Metspalu A, North KE, Ingelsson E, Nettleton JA, van Dam RM, Chasman DI, Coffee and Caffeine Genetics Consortium, Marilyn C Cornelis, Enda M Byrne, Tõnu Esko, Michael A Nalls, Andrea Ganna, Nina Paynter, Keri L Monda, Najaf Amin, Krista Fischer, Frida Renstrom, Julius S Ngwa, Ville Huikari, Alana Cavadino, Ilja M Nolte, Alexander Teumer, Kai Yu, Pedro Marques-Vidal, Rajesh Rawal, Ani Manichaikul, Mary K Wojczynski, Jacqueline M Vink, Jing Hua Zhao, George Burlutsky, Jari Lahti, Vera Mikkilä, Rozenn N Lemaitre, Joel Eriksson, Solomon K Musani, Toshiko Tanaka, Frank Geller, Jian’an Luan, Jennie Hui, Reedik Mägi, Maria Dimitriou, Melissa E Garcia, Weang-Kee Ho, Margaret J Wright, Lynda M Rose, Patrik KE Magnusson, Nancy L Pedersen, David Couper, Ben A Oostra, Albert Hofman, Mohammad Arfan Ikram, Henning W Tiemeier, Andre G Uitterlinden, Frank JA van Rooij, Inês Barroso, Ingegerd Johansson, Luting Xue, Marika Kaakinen, Lili Milani, Chris Power, Harold Snieder, Ronald P Stolk, Sebastian E Baumeister, Reiner Biffar, Fangyi Gu, François Bastardot, Zoltán Kutalik, David R Jacobs, Jr, Nita G Forouhi, Evelin Mihailov, Lars Lind, Cecilia Lindgren, Karl Michaëlsson, Andrew Morris, Majken Jensen, Kay-Tee Khaw, Robert N Luben, Jie Jin Wang, Satu Männistö, Mia-Maria Perälä, Mika Kähönen, Terho Lehtimäki, Jorma Viikari, Dariush Mozaffarian, Kenneth Mukamal, Bruce M Psaty, Angela Döring, Grant W Montgomery, Norbert Dahmen, Teresa Carithers, Katherine L Tucker, Luigi Ferrucci, Heather A Boyd, Mads Melbye, Jorien L Treur, Dan Mellström, Jouke Jan Hottenga, Inga Prokopenko, Anke Tönjes, Panos Deloukas, Stavroula Kanoni, Mattias Lorentzon, Denise K Houston, Yongmei Liu, John Danesh, Asif Rasheed, Marc A Mason, Alan B Zonderman, Lude Franke, Bruce S Kristal, International Parkinson’s Disease Genomics Consortium (IPDGC), North American Brain Expression Consortium (NABEC), UK Brain Expression Consortium (UKBEC), Juha Karjalainen, Danielle R Reed, Harm-Jan Westra, Michele K Evans, Danish Saleheen, Tamara B Harris, George Dedoussis, Gary Curhan, Michael Stumvoll, John Beilby, Louis R Pasquale, Bjarke Feenstra, Stefania Bandinelli, Jose M Ordovas, Andrew T Chan, Ulrike Peters, Claes Ohlsson, Christian Gieger, Nicholas G Martin, Melanie Waldenberger, David S Siscovick, Olli Raitakari, Johan G Eriksson, Paul Mitchell, David J Hunter, Peter Kraft, Eric B Rimm, Dorret I Boomsma, Ingrid B Borecki, Ruth JF Loos, Nicholas J Wareham, Peter Vollenweider, Neil Caporaso, Hans Jörgen Grabe, Marian L Neuhouser, Bruce HR Wolffenbuttel, Frank B Hu, Elina Hyppönen, Marjo-Riitta Järvelin, L Adrienne Cupples, Paul W Franks, Paul M Ridker, Cornelia M van Duijn, Gerardo Heiss, Andres Metspalu, Kari E North, Erik Ingelsson, Jennifer A Nettleton, Rob M van Dam, Daniel 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 159 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 157 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 1%
Sweden 2 1%
Switzerland 1 <1%
Australia 1 <1%
France 1 <1%
Mexico 1 <1%
United Kingdom 1 <1%
Finland 1 <1%
Egypt 1 <1%
Other 3 2%
Unknown 143 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 31 20%
Student > Bachelor 23 15%
Student > Ph. D. Student 22 14%
Other 17 11%
Student > Master 14 9%
Other 45 29%
Unknown 5 3%
Readers by discipline Count As %
Agricultural and Biological Sciences 51 32%
Medicine and Dentistry 50 32%
Biochemistry, Genetics and Molecular Biology 18 11%
Psychology 7 4%
Unspecified 6 4%
Other 20 13%
Unknown 5 3%

Attention Score in Context

This research output has an Altmetric Attention Score of 706. 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 30 August 2017.
All research outputs
#3,927
of 8,336,828 outputs
Outputs from Molecular Psychiatry
#3
of 1,926 outputs
Outputs of similar age
#91
of 198,371 outputs
Outputs of similar age from Molecular Psychiatry
#1
of 62 outputs
Altmetric has tracked 8,336,828 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 1,926 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.2. 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 198,371 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.