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17p12 Influences Hematoma Volume and Outcome in Spontaneous Intracerebral Hemorrhage

Overview of attention for article published in Stroke, June 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • Average Attention Score compared to outputs of the same age and source

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Citations

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Title
17p12 Influences Hematoma Volume and Outcome in Spontaneous Intracerebral Hemorrhage
Published in
Stroke, June 2018
DOI 10.1161/strokeaha.117.020091
Pubmed ID
Authors

Sandro Marini, William J Devan, Farid Radmanesh, Laura Miyares, Timothy Poterba, Björn M Hansen, Bo Norrving, Jordi Jimenez-Conde, Eva Giralt-Steinhauer, Roberto Elosua, Elisa Cuadrado-Godia, Carolina Soriano, Jaume Roquer, Christina E Kourkoulis, Alison M Ayres, Kristin Schwab, 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, Steven M Greenberg, Arne Lindgren, Charles Matouk, Kevin N Sheth, Daniel Woo, Christopher D Anderson, Jonathan Rosand, Guido J Falcone

Abstract

Hematoma volume is an important determinant of clinical outcome in spontaneous intracerebral hemorrhage (ICH). We performed a genome-wide association study (GWAS) of hematoma volume with the aim of identifying novel biological pathways involved in the pathophysiology of primary brain injury in ICH. We conducted a 2-stage (discovery and replication) case-only genome-wide association study in patients with ICH of European ancestry. We utilized the admission head computed tomography to calculate hematoma volume via semiautomated computer-assisted technique. After quality control and imputation, 7 million genetic variants were available for association testing with ICH volume, which was performed separately in lobar and nonlobar ICH cases using linear regression. Signals with P<5×10-8 were pursued in replication and tested for association with admission Glasgow coma scale and 3-month post-ICH dichotomized (0-2 versus 3-6) modified Rankin Scale using ordinal and logistic regression, respectively. The discovery phase included 394 ICH cases (228 lobar and 166 nonlobar) and identified 2 susceptibility loci: a genomic region on 22q13 encompassing PARVB (top single-nucleotide polymorphism rs9614326: β, 1.84; SE, 0.32; P=4.4×10-8) for lobar ICH volume and an intergenic region overlying numerous copy number variants on 17p12 (top single-nucleotide polymorphism rs11655160: β, 0.95; SE, 0.17; P=4.3×10-8) for nonlobar ICH volume. The replication included 240 ICH cases (71 lobar and 169 nonlobar) and corroborated the association for 17p12 (P=0.04; meta-analysis P=2.5×10-9; heterogeneity, P=0.16) but not for 22q13 (P=0.49). In multivariable analysis, rs11655160 was also associated with lower admission Glasgow coma scale (odds ratio, 0.17; P=0.004) and increased risk of poor 3-month modified Rankin Scale (odds ratio, 1.94; P=0.045). We identified 17p12 as a novel susceptibility risk locus for hematoma volume, clinical severity, and functional outcome in nonlobar ICH. Replication in other ethnicities and follow-up translational studies are needed to elucidate the mechanism mediating the observed association.

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X Demographics

The data shown below were collected from the profiles of 14 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 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 18%
Student > Ph. D. Student 4 9%
Student > Doctoral Student 4 9%
Professor 4 9%
Student > Bachelor 4 9%
Other 11 24%
Unknown 10 22%
Readers by discipline Count As %
Medicine and Dentistry 13 29%
Neuroscience 5 11%
Nursing and Health Professions 4 9%
Biochemistry, Genetics and Molecular Biology 3 7%
Psychology 2 4%
Other 5 11%
Unknown 13 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 05 July 2018.
All research outputs
#4,209,172
of 25,385,509 outputs
Outputs from Stroke
#4,082
of 12,372 outputs
Outputs of similar age
#75,778
of 341,728 outputs
Outputs of similar age from Stroke
#71
of 119 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,372 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.6. This one has gotten more attention than average, scoring higher than 66% 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 341,728 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% of its contemporaries.
We're also able to compare this research output to 119 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.