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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Characterization of Large Structural Genetic Mosaicism in Human Autosomes
|
|---|---|
| Published in |
American Journal of Human Genetics, March 2015
|
| DOI | 10.1016/j.ajhg.2015.01.011 |
| Pubmed ID | |
| Authors |
Mitchell J. Machiela, Weiyin Zhou, Joshua N. Sampson, Michael C. Dean, Kevin B. Jacobs, Amanda Black, Louise A. Brinton, I-Shou Chang, Chu Chen, Constance Chen, Kexin Chen, Linda S. Cook, Marta Crous Bou, Immaculata De Vivo, Jennifer Doherty, Christine M. Friedenreich, Mia M. Gaudet, Christopher A. Haiman, Susan E. Hankinson, Patricia Hartge, Brian E. Henderson, Yun-Chul Hong, H. Dean Hosgood, Chao A. Hsiung, Wei Hu, David J. Hunter, Lea Jessop, Hee Nam Kim, Yeul Hong Kim, Young Tae Kim, Robert Klein, Peter Kraft, Qing Lan, Dongxin Lin, Jianjun Liu, Loic Le Marchand, Xiaolin Liang, Jolanta Lissowska, Lingeng Lu, Anthony M. Magliocco, Keitaro Matsuo, Sara H. Olson, Irene Orlow, Jae Yong Park, Loreall Pooler, Jennifer Prescott, Radhai Rastogi, Harvey A. Risch, Fredrick Schumacher, Adeline Seow, Veronica Wendy Setiawan, Hongbing Shen, Xin Sheng, Min-Ho Shin, Xiao-Ou Shu, David VanDen Berg, Jiu-Cun Wang, Nicolas Wentzensen, Maria Pik Wong, Chen Wu, Tangchun Wu, Yi-Long Wu, Lucy Xia, Hannah P. Yang, Pan-Chyr Yang, Wei Zheng, Baosen Zhou, Christian C. Abnet, Demetrius Albanes, Melinda C. Aldrich, Christopher Amos, Laufey T. Amundadottir, Sonja I. Berndt, William J. Blot, Cathryn H. Bock, Paige M. Bracci, Laurie Burdett, Julie E. Buring, Mary A. Butler, Tania Carreón, Nilanjan Chatterjee, Charles C. Chung, Michael B. Cook, Michael Cullen, Faith G. Davis, Ti Ding, Eric J. Duell, Caroline G. Epstein, Jin-Hu Fan, Jonine D. Figueroa, Joseph F. Fraumeni, Neal D. Freedman, Charles S. Fuchs, Yu-Tang Gao, Susan M. Gapstur, Ana Patiño-Garcia, Montserrat Garcia-Closas, J. Michael Gaziano, Graham G. Giles, Elizabeth M. Gillanders, Edward L. Giovannucci, Lynn Goldin, Alisa M. Goldstein, Mark H. Greene, Goran Hallmans, Curtis C. Harris, Roger Henriksson, Elizabeth A. Holly, Robert N. Hoover, Nan Hu, Amy Hutchinson, Mazda Jenab, Christoffer Johansen, Kay-Tee Khaw, Woon-Puay Koh, Laurence N. Kolonel, Charles Kooperberg, Vittorio Krogh, Robert C. Kurtz, Andrea LaCroix, Annelie Landgren, Maria Teresa Landi, Donghui Li, Linda M. Liao, Nuria Malats, Katherine A. McGlynn, Lorna H. McNeill, Robert R. McWilliams, Beatrice S. Melin, Lisa Mirabello, Beata Peplonska, Ulrike Peters, Gloria M. Petersen, Ludmila Prokunina-Olsson, Mark Purdue, You-Lin Qiao, Kari G. Rabe, Preetha Rajaraman, Francisco X. Real, Elio Riboli, Benjamín Rodríguez-Santiago, Nathaniel Rothman, Avima M. Ruder, Sharon A. Savage, Ann G. Schwartz, Kendra L. Schwartz, Howard D. Sesso, Gianluca Severi, Debra T. Silverman, Margaret R. Spitz, Victoria L. Stevens, Rachael Stolzenberg-Solomon, Daniel Stram, Ze-Zhong Tang, Philip R. Taylor, Lauren R. Teras, Geoffrey S. Tobias, Kala Viswanathan, Sholom Wacholder, Zhaoming Wang, Stephanie J. Weinstein, William Wheeler, Emily White, John K. Wiencke, Brian M. Wolpin, Xifeng Wu, Jay S. Wunder, Kai Yu, Krista A. Zanetti, Anne Zeleniuch-Jacquotte, Regina G. Ziegler, Mariza de Andrade, Kathleen C. Barnes, Terri H. Beaty, Laura J. Bierut, Karl C. Desch, Kimberly F. Doheny, Bjarke Feenstra, David Ginsburg, John A. Heit, Jae H. Kang, Cecilia A. Laurie, Jun Z. Li, William L. Lowe, Mary L. Marazita, Mads Melbye, Daniel B. Mirel, Jeffrey C. Murray, Sarah C. Nelson, Louis R. Pasquale, Kenneth Rice, Janey L. Wiggs, Anastasia Wise, Margaret Tucker, Luis A. Pérez-Jurado, Cathy C. Laurie, Neil E. Caporaso, Meredith Yeager, Stephen J. Chanock |
X Demographics
The data shown below were collected from the profiles of 29 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 States | 13 | 45% |
| United Kingdom | 3 | 10% |
| Brazil | 1 | 3% |
| Mexico | 1 | 3% |
| Slovenia | 1 | 3% |
| Unknown | 10 | 34% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 14 | 48% |
| Members of the public | 10 | 34% |
| Practitioners (doctors, other healthcare professionals) | 4 | 14% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 212 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 2% |
| Canada | 3 | 1% |
| Spain | 1 | <1% |
| Unknown | 203 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 41 | 19% |
| Student > Ph. D. Student | 39 | 18% |
| Student > Master | 22 | 10% |
| Professor | 15 | 7% |
| Professor > Associate Professor | 12 | 6% |
| Other | 35 | 17% |
| Unknown | 48 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 45 | 21% |
| Biochemistry, Genetics and Molecular Biology | 42 | 20% |
| Agricultural and Biological Sciences | 32 | 15% |
| Psychology | 5 | 2% |
| Chemistry | 5 | 2% |
| Other | 22 | 10% |
| Unknown | 61 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 21. 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 26 May 2016.
All research outputs
#1,786,906
of 25,374,917 outputs
Outputs from American Journal of Human Genetics
#962
of 5,879 outputs
Outputs of similar age
#22,082
of 270,989 outputs
Outputs of similar age from American Journal of Human Genetics
#18
of 56 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,879 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.3. This one has done well, scoring higher than 83% 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 270,989 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 91% of its contemporaries.
We're also able to compare this research output to 56 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 66% of its contemporaries.