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Meta-analysis of Genome-wide Association Studies Identifies 1q22 as a Susceptibility Locus for Intracerebral Hemorrhage

Overview of attention for article published in American Journal of Human Genetics, March 2014
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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 (91st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

news
2 news outlets
twitter
11 X users

Citations

dimensions_citation
241 Dimensions

Readers on

mendeley
169 Mendeley
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Title
Meta-analysis of Genome-wide Association Studies Identifies 1q22 as a Susceptibility Locus for Intracerebral Hemorrhage
Published in
American Journal of Human Genetics, March 2014
DOI 10.1016/j.ajhg.2014.02.012
Pubmed ID
Authors

Daniel Woo, Guido J. Falcone, William J. Devan, W. Mark Brown, Alessandro Biffi, Timothy D. Howard, Christopher D. Anderson, H. Bart Brouwers, Valerie Valant, Thomas W.K. Battey, Farid Radmanesh, Miriam R. Raffeld, Sylvia Baedorf-Kassis, Ranjan Deka, Jessica G. Woo, Lisa J. Martin, Mary Haverbusch, Charles J. Moomaw, Guangyun Sun, Joseph P. Broderick, Matthew L. Flaherty, Sharyl R. Martini, Dawn O. Kleindorfer, Brett Kissela, Mary E. Comeau, Jeremiasz M. Jagiella, Helena Schmidt, Paul Freudenberger, Alexander Pichler, Christian Enzinger, Björn M. Hansen, Bo Norrving, Jordi Jimenez-Conde, Eva Giralt-Steinhauer, Roberto Elosua, Elisa Cuadrado-Godia, Carolina Soriano, Jaume Roquer, Peter Kraft, Alison M. Ayres, Kristin Schwab, Jacob L. McCauley, Joanna Pera, Andrzej Urbanik, Natalia S. Rost, Joshua N. Goldstein, Anand Viswanathan, Eva-Maria Stögerer, David L. Tirschwell, Magdy Selim, Devin L. Brown, Scott L. Silliman, Bradford B. Worrall, James F. Meschia, Chelsea S. Kidwell, Joan Montaner, Israel Fernandez-Cadenas, Pilar Delgado, Rainer Malik, Martin Dichgans, Steven M. Greenberg, Peter M. Rothwell, Arne Lindgren, Agnieszka Slowik, Reinhold Schmidt, Carl D. Langefeld, Jonathan Rosand, the International Stroke Genetics Consortium

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 169 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 <1%
Hong Kong 1 <1%
United Kingdom 1 <1%
China 1 <1%
United States 1 <1%
Unknown 164 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 27 16%
Researcher 27 16%
Student > Master 15 9%
Student > Bachelor 14 8%
Student > Doctoral Student 13 8%
Other 26 15%
Unknown 47 28%
Readers by discipline Count As %
Medicine and Dentistry 48 28%
Biochemistry, Genetics and Molecular Biology 23 14%
Agricultural and Biological Sciences 18 11%
Neuroscience 9 5%
Nursing and Health Professions 7 4%
Other 15 9%
Unknown 49 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 06 April 2014.
All research outputs
#1,923,540
of 25,837,817 outputs
Outputs from American Journal of Human Genetics
#1,047
of 6,012 outputs
Outputs of similar age
#18,831
of 241,085 outputs
Outputs of similar age from American Journal of Human Genetics
#16
of 42 outputs
Altmetric has tracked 25,837,817 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 6,012 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.6. This one has done well, scoring higher than 81% 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 241,085 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 42 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 61% of its contemporaries.