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Planning the Human Variome Project: The Spain report

Overview of attention for article published in Human Mutation, January 2009
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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 (87th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
45 Dimensions

Readers on

mendeley
100 Mendeley
citeulike
2 CiteULike
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Title
Planning the Human Variome Project: The Spain report
Published in
Human Mutation, January 2009
DOI 10.1002/humu.20972
Pubmed ID
Authors

Jim Kaput, Richard G.H. Cotton, Lauren Hardman, Michael Watson, Aida I. Al Aqeel, Jumana Y. Al‐Aama, Fahd Al‐Mulla, Santos Alonso, Stefan Aretz, Arleen D. Auerbach, Bharati Bapat, Inge T. Bernstein, Jong Bhak, Stacey L. Bleoo, Helmut Blöcker, Steven E. Brenner, John Burn, Mariona Bustamante, Rita Calzone, Anne Cambon‐Thomsen, Michele Cargill, Paola Carrera, Lawrence Cavedon, Yoon Shin Cho, Yeun‐Jun Chung, Mireille Claustres, Garry Cutting, Raymond Dalgleish, Johan T. den Dunnen, Carlos Díaz, Steven Dobrowolski, M. Rosário N. dos Santos, Rosemary Ekong, Simon B. Flanagan, Paul Flicek, Yoichi Furukawa, Maurizio Genuardi, Ho Ghang, Maria V. Golubenko, Marc S. Greenblatt, Ada Hamosh, John M. Hancock, Ross Hardison, Terence M. Harrison, Robert Hoffmann, Rania Horaitis, Heather J. Howard, Carol Isaacson Barash, Neskuts Izagirre, Jongsun Jung, Toshio Kojima, Sandrine Laradi, Yeon‐Su Lee, Jong‐Young Lee, Vera L. Gil‐da‐Silva‐Lopes, Finlay A. Macrae, Donna Maglott, Makia J. Marafie, Steven G.E. Marsh, Yoichi Matsubara, Ludwine M. Messiaen, Gabriela Möslein, Mihai G. Netea, Melissa L. Norton, Peter J. Oefner, William S. Oetting, James C. O'Leary, Ana Maria Oller de Ramirez, Mark H. Paalman, Jillian Parboosingh, George P. Patrinos, Giuditta Perozzi, Ian R. Phillips, Sue Povey, Suyash Prasad, Ming Qi, David J. Quin, Rajkumar S. Ramesar, C. Sue Richards, Judith Savige, Dagmar G. Scheible, Rodney J. Scott, Daniela Seminara, Elizabeth A. Shephard, Rolf H. Sijmons, Timothy D. Smith, María‐Jesús Sobrido, Toshihiro Tanaka, Sean V. Tavtigian, Graham R. Taylor, Jon Teague, Thoralf Töpel, Mollie Ullman‐Cullere, Joji Utsunomiya, Henk J. van Kranen, Mauno Vihinen, Elizabeth Webb, Thomas K. Weber, Meredith Yeager, Young I. Yeom, Seon‐Hee Yim, Hyang‐Sook Yoo, on behalf of contributors to the Human Variome Project Planning Meeting

Abstract

The remarkable progress in characterizing the human genome sequence, exemplified by the Human Genome Project and the HapMap Consortium, has led to the perception that knowledge and the tools (e.g., microarrays) are sufficient for many if not most biomedical research efforts. A large amount of data from diverse studies proves this perception inaccurate at best, and at worst, an impediment for further efforts to characterize the variation in the human genome. Because variation in genotype and environment are the fundamental basis to understand phenotypic variability and heritability at the population level, identifying the range of human genetic variation is crucial to the development of personalized nutrition and medicine. The Human Variome Project (HVP; http://www.humanvariomeproject.org/) was proposed initially to systematically collect mutations that cause human disease and create a cyber infrastructure to link locus specific databases (LSDB). We report here the discussions and recommendations from the 2008 HVP planning meeting held in San Feliu de Guixols, Spain, in May 2008.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 2 2%
United States 2 2%
Netherlands 1 1%
Brazil 1 1%
Sweden 1 1%
South Africa 1 1%
France 1 1%
United Kingdom 1 1%
Costa Rica 1 1%
Other 2 2%
Unknown 87 87%

Demographic breakdown

Readers by professional status Count As %
Researcher 30 30%
Student > Ph. D. Student 14 14%
Other 11 11%
Student > Doctoral Student 6 6%
Professor 6 6%
Other 20 20%
Unknown 13 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 33 33%
Medicine and Dentistry 21 21%
Biochemistry, Genetics and Molecular Biology 14 14%
Computer Science 4 4%
Social Sciences 4 4%
Other 11 11%
Unknown 13 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 March 2009.
All research outputs
#3,798,611
of 25,374,647 outputs
Outputs from Human Mutation
#301
of 2,982 outputs
Outputs of similar age
#18,514
of 184,691 outputs
Outputs of similar age from Human Mutation
#5
of 41 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 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,982 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 87% 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 184,691 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 87% of its contemporaries.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.