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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Genome-wide association analysis implicates dysregulation of immunity genes in chronic lymphocytic leukaemia
|
|---|---|
| Published in |
Nature Communications, February 2017
|
| DOI | 10.1038/ncomms14175 |
| Pubmed ID | |
| Authors |
Philip J. Law, Sonja I. Berndt, Helen E. Speedy, Nicola J. Camp, Georgina P. Sava, Christine F. Skibola, Amy Holroyd, Vijai Joseph, Nicola J. Sunter, Alexandra Nieters, Silvia Bea, Alain Monnereau, David Martin-Garcia, Lynn R. Goldin, Guillem Clot, Lauren R. Teras, Inés Quintela, Brenda M. Birmann, Sandrine Jayne, Wendy Cozen, Aneela Majid, Karin E. Smedby, Qing Lan, Claire Dearden, Angela R. Brooks-Wilson, Andrew G. Hall, Mark P. Purdue, Tryfonia Mainou-Fowler, Claire M. Vajdic, Graham H. Jackson, Pierluigi Cocco, Helen Marr, Yawei Zhang, Tongzhang Zheng, Graham G. Giles, Charles Lawrence, Timothy G. Call, Mark Liebow, Mads Melbye, Bengt Glimelius, Larry Mansouri, Martha Glenn, Karen Curtin, W Ryan Diver, Brian K. Link, Lucia Conde, Paige M. Bracci, Elizabeth A. Holly, Rebecca D. Jackson, Lesley F. Tinker, Yolanda Benavente, Paolo Boffetta, Paul Brennan, Marc Maynadie, James McKay, Demetrius Albanes, Stephanie Weinstein, Zhaoming Wang, Neil E. Caporaso, Lindsay M. Morton, Richard K. Severson, Elio Riboli, Paolo Vineis, Roel C. H. Vermeulen, Melissa C. Southey, Roger L. Milne, Jacqueline Clavel, Sabine Topka, John J. Spinelli, Peter Kraft, Maria Grazia Ennas, Geoffrey Summerfield, Giovanni M. Ferri, Robert J. Harris, Lucia Miligi, Andrew R. Pettitt, Kari E. North, David J. Allsup, Joseph F. Fraumeni, James R. Bailey, Kenneth Offit, Guy Pratt, Henrik Hjalgrim, Chris Pepper, Stephen J. Chanock, Chris Fegan, Richard Rosenquist, Silvia de Sanjose, Angel Carracedo, Martin J. S. Dyer, Daniel Catovsky, Elias Campo, James R. Cerhan, James M. Allan, Nathanial Rothman, Richard Houlston, Susan Slager |
| Abstract |
Several chronic lymphocytic leukaemia (CLL) susceptibility loci have been reported; however, much of the heritable risk remains unidentified. Here we perform a meta-analysis of six genome-wide association studies, imputed using a merged reference panel of 1,000 Genomes and UK10K data, totalling 6,200 cases and 17,598 controls after replication. We identify nine risk loci at 1p36.11 (rs34676223, P=5.04 × 10(-13)), 1q42.13 (rs41271473, P=1.06 × 10(-10)), 4q24 (rs71597109, P=1.37 × 10(-10)), 4q35.1 (rs57214277, P=3.69 × 10(-8)), 6p21.31 (rs3800461, P=1.97 × 10(-8)), 11q23.2 (rs61904987, P=2.64 × 10(-11)), 18q21.1 (rs1036935, P=3.27 × 10(-8)), 19p13.3 (rs7254272, P=4.67 × 10(-8)) and 22q13.33 (rs140522, P=2.70 × 10(-9)). These new and established risk loci map to areas of active chromatin and show an over-representation of transcription factor binding for the key determinants of B-cell development and immune response. |
X Demographics
The data shown below were collected from the profiles of 24 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 8 | 33% |
| United States | 4 | 17% |
| Switzerland | 3 | 13% |
| Japan | 1 | 4% |
| Australia | 1 | 4% |
| Malaysia | 1 | 4% |
| Unknown | 6 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 14 | 58% |
| Scientists | 9 | 38% |
| Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 171 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| Unknown | 170 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 22 | 13% |
| Researcher | 22 | 13% |
| Student > Master | 20 | 12% |
| Student > Bachelor | 13 | 8% |
| Professor | 11 | 6% |
| Other | 29 | 17% |
| Unknown | 54 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 39 | 23% |
| Biochemistry, Genetics and Molecular Biology | 33 | 19% |
| Agricultural and Biological Sciences | 12 | 7% |
| Immunology and Microbiology | 4 | 2% |
| Nursing and Health Professions | 3 | 2% |
| Other | 17 | 10% |
| Unknown | 63 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 45. 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 27 September 2021.
All research outputs
#912,570
of 25,200,621 outputs
Outputs from Nature Communications
#15,071
of 55,721 outputs
Outputs of similar age
#20,107
of 431,722 outputs
Outputs of similar age from Nature Communications
#313
of 872 outputs
Altmetric has tracked 25,200,621 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 55,721 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 55.8. This one has gotten more attention than average, scoring higher than 72% 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 431,722 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 95% of its contemporaries.
We're also able to compare this research output to 872 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.