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Mendeley readers
Attention Score in Context
| Title |
Polymorphism in the GALNT1 Gene and Epithelial Ovarian Cancer in Non-Hispanic White Women: The Ovarian Cancer Association Consortium
|
|---|---|
| Published in |
Cancer Epidemiology, Biomarkers & Prevention, February 2010
|
| DOI | 10.1158/1055-9965.epi-09-0861 |
| Pubmed ID | |
| Authors |
Catherine M. Phelan, Ya-Yu Tsai, Ellen L. Goode, Robert A. Vierkant, Brooke L. Fridley, Jonathan Beesley, Xiao Qing Chen, Penelope M. Webb, Stephen Chanock, Daniel W. Cramer, Kirsten Moysich, Robert P. Edwards, Jenny Chang-Claude, Montserrat Garcia-Closas, Hannah Yang, Shan Wang-Gohrke, Rebecca Hein, Adele C. Green, Jolanta Lissowska, Michael E. Carney, Galina Lurie, Lynne R. Wilkens, Roberta B. Ness, Celeste Leigh Pearce, Anna H. Wu, David J. Van Den Berg, Daniel O. Stram, Kathryn L. Terry, David C. Whiteman, Alice S. Whittemore, Richard A. DiCioccio, Valerie McGuire, Jennifer A. Doherty, Mary Anne Rossing, Hoda Anton-Culver, Argyrios Ziogas, Claus Hogdall, Estrid Hogdall, Susanne Krüger Kjaer, Jan Blaakaer, Lydia Quaye, Susan J. Ramus, Ian Jacobs, Honglin Song, Paul D.P. Pharoah, Edwin S. Iversen, Jeffrey R. Marks, Malcolm C. Pike, Simon A. Gayther, Julie M. Cunningham, Marc T. Goodman, Joellen M. Schildkraut, Georgia Chenevix-Trench, Andrew Berchuck, Thomas A. Sellers |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 26% |
| Professor | 5 | 22% |
| Researcher | 4 | 17% |
| Other | 2 | 9% |
| Student > Master | 1 | 4% |
| Other | 2 | 9% |
| Unknown | 3 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 6 | 26% |
| Agricultural and Biological Sciences | 4 | 17% |
| Medicine and Dentistry | 4 | 17% |
| Computer Science | 1 | 4% |
| Mathematics | 1 | 4% |
| Other | 2 | 9% |
| Unknown | 5 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 07 November 2017.
All research outputs
#8,572,103
of 25,461,852 outputs
Outputs from Cancer Epidemiology, Biomarkers & Prevention
#2,150
of 4,853 outputs
Outputs of similar age
#51,528
of 173,348 outputs
Outputs of similar age from Cancer Epidemiology, Biomarkers & Prevention
#22
of 40 outputs
Altmetric has tracked 25,461,852 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,853 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.5. This one is in the 41st percentile – i.e., 41% 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 173,348 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.