You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Cell-type-specific enrichment of risk-associated regulatory elements at ovarian cancer susceptibility loci
|
|---|---|
| Published in |
Human Molecular Genetics, March 2015
|
| DOI | 10.1093/hmg/ddv101 |
| Pubmed ID | |
| Authors |
Simon G. Coetzee, Howard C. Shen, Dennis J. Hazelett, Kate Lawrenson, Karoline Kuchenbaecker, Jonathan Tyrer, Suhn K. Rhie, Keren Levanon, Alison Karst, Ronny Drapkin, Susan J. Ramus, Fergus J. Couch, Kenneth Offit, Georgia Chenevix-Trench, Alvaro N.A. Monteiro, Antonis Antoniou, Matthew Freedman, Gerhard A. Coetzee, Paul D.P. Pharoah, Houtan Noushmehr, Simon A. Gayther, Jonathan Tyrer, Hoda Anton-Culver, Natalia Antonenkova, Helen Baker, Elisa V. Bandera, Yukie Bean, Matthias W. Beckmann, Andrew Berchuck, Maria Bisogna, Line Bjorge, Natalia Bogdanova, Louise A. Brinton, Angela Brooks-Wilson, Fiona Bruinsma, Ralf Butzow, Ian G. Campbell, Karen Carty, Jenny Chang-Claude, Ann Chen, Zhihua Chen, Linda S. Cook, Daniel W. Cramer, Julie M. Cunningham, Cezary Cybulski, Agnieszka Dansonka-Mieszkowska, Joe Dennis, Ed Dicks, Jennifer A. Doherty, Thilo Dörk, Andreas du Bois, Matthias Dürst, Diana Eccles, Douglas F. Easton, Robert P. Edwards, Ursula Eilber, Arif B. Ekici, Peter A. Fasching, Brooke L. Fridley, Yu-Tang Gao, Aleksandra Gentry-Maharaj, Graham G. Giles, Rosalind Glasspool, Ellen L. Goode, Marc T. Goodman, Jacek Grownwald, Patricia Harrington, Philipp Harter, Hanis Nazihah Hasmad, Alexander Hein, Florian Heitz, Michelle A.T. Hildebrandt, Peter Hillemanns, Estrid Hogdall, Claus Hogdall, Satoyo Hosono, Edwin S. Iversen, Anna Jakubowska, Paul James, Allan Jensen, Bu-Tian Ji, Beth Y Karlan, Susanne Kruger Kjaer, Linda E. Kelemen, Melissa Kellar, Joseph L. Kelley, Lambertus A. Kiemeney, Camilla Krakstad, Jolanta Kupryjanczyk, Diether Lambrechts, Sandrina Lambrechts, Nhu D. Le, Shashi Lele, Arto Leminen, Jenny Lester, Douglas A. Levine, Dong Liang, Jolanta Lissowska, Karen Lu, Jan Lubinski, Lene Lundvall, Leon F.A.G. Massuger, Keitaro Matsuo, Valerie McGuire, John R. McLaughlin, Ian McNeish, Usha Menon, Francesmary Modugno, Kirsten B. Moysich, Steven A. Narod, Lotte Nedergaard, Roberta B. Ness, Mat Adenan Noor Azmi, Kunle Odunsi, Sara H. Olson, Irene Orlow, Sandra Orsulic, Rachel Palmieri Weber, Celeste L. Pearce, Tanja Pejovic, Liisa M. Pelttari, Jennifer Permuth-Wey, Catherine M. Phelan, Malcolm C. Pike, Elizabeth M. Poole, Harvey A. Risch, Barry Rosen, Mary Anne Rossing, Joseph H. Rothstein, Anja Rudolph, Ingo B. Runnebaum, Iwona K. Rzepecka, Helga B. Salvesen, Joellen M. Schildkraut, Ira Schwaab, Thomas A. Sellers, Xiao-Ou Shu, Yurii B Shvetsov, Nadeem Siddiqui, Weiva Sieh, Honglin Song, Melissa C. Southey, Lara Sucheston, Ingvild L. Tangen, Soo-Hwang Teo, Kathryn L. Terry, Pamela J. Thompson, Agnieszka Timorek, Ya-Yu Tsai, Shelley S. Tworoger, Jonathan Tyrer, Anne M. van Altena, Els Van Nieuwenhuysen, Ignace Vergote, Robert A. Vierkant, Shan Wang-Gohrke, Christine Walsh, Nicolas Wentzensen, Alice S. Whittemore, Kristine G. Wicklund, Lynne R. Wilkens, Yin-Ling Woo, Xifeng Wu, Anna H. Wu, Hannah Yang, Wei Zheng, Argyrios Ziogas |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 1 | 1% |
| Unknown | 81 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 20 | 24% |
| Student > Ph. D. Student | 12 | 15% |
| Other | 7 | 9% |
| Professor | 7 | 9% |
| Student > Bachelor | 5 | 6% |
| Other | 13 | 16% |
| Unknown | 18 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 23 | 28% |
| Agricultural and Biological Sciences | 12 | 15% |
| Medicine and Dentistry | 11 | 13% |
| Unspecified | 4 | 5% |
| Social Sciences | 3 | 4% |
| Other | 8 | 10% |
| Unknown | 21 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 March 2015.
All research outputs
#16,443,300
of 25,837,817 outputs
Outputs from Human Molecular Genetics
#6,826
of 8,398 outputs
Outputs of similar age
#155,236
of 281,034 outputs
Outputs of similar age from Human Molecular Genetics
#76
of 111 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,398 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one is in the 17th percentile – i.e., 17% of its peers scored the same or lower than it.
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 281,034 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 111 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.