Junzhe Xu, Jingchun Sun, Jingchun Chen, Lily Wang, Anna Li, Matthew Helm, Steven L Dubovsky, Silviu-Alin Bacanu, Zhongming Zhao, Xiangning Chen
Abstract
While genome-wide association studies identified some promising candidates for schizophrenia, the majority of risk genes remained unknown. We were interested in testing whether integration gene expression and other functional information could facilitate the identification of susceptibility genes and related biological pathways.
This research output has an Altmetric Attention Score of 1. 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 14 January 2013.
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#18,326,065
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#8,146
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Outputs of similar age
#203,097
of 261,299 outputs
Outputs of similar age from BMC Genomics
#296
of 382 outputs
Altmetric has tracked 22,693,205 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,616 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 12th percentile – i.e., 12% of its peers scored the same or lower than it.
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We're also able to compare this research output to 382 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.
