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.
Mendeley readers
Attention Score in Context
| Title |
Attention Deficit Hyperactivity Disorder comorbid oppositional defiant disorder and its predominately inattentive type: evidence for an association with COMT but not MAOA in a Chinese sample
|
|---|---|
| Published in |
Behavioral and Brain Functions, February 2009
|
| DOI | 10.1186/1744-9081-5-8 |
| Pubmed ID | |
| Authors |
Qiu-Jin Qian, Jin Liu, Yu-Feng Wang, Li Yang, Li-Li Guan, Stephen V Faraone |
| Abstract |
There are three childhood disruptive behavior disorders (DBDs), attention deficit hyperactivity disorder (ADHD), oppositional defiant disorder (ODD), and conduct disorder (CD). The most common comorbid disorder in ADHD is ODD. DSM-IV describes three ADHD subtypes: predominantly inattentive type (ADHD-IA), predominantly hyperactive-impulsive type (ADHD-HI), and combined type (ADHD-C). Prior work suggests that specific candidate genes are associated with specific subtypes of ADHD in China. Our previous association studies between ADHD and functional polymorphisms of COMT and MAOA, consistently showed the low transcriptional activity alleles were preferentially transmitted to ADHD-IA boys. Thus, the goal of the present study is to test the hypothesis that COMT Val158Met and MAOA-uVNTR jointly contribute to the ODD phenotype among Chinese ADHD boys. |
Mendeley readers
The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 4% |
| Spain | 1 | 2% |
| Netherlands | 1 | 2% |
| Unknown | 46 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 18% |
| Researcher | 8 | 16% |
| Student > Master | 6 | 12% |
| Student > Bachelor | 4 | 8% |
| Student > Doctoral Student | 4 | 8% |
| Other | 8 | 16% |
| Unknown | 11 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 17 | 34% |
| Agricultural and Biological Sciences | 5 | 10% |
| Medicine and Dentistry | 5 | 10% |
| Neuroscience | 4 | 8% |
| Computer Science | 2 | 4% |
| Other | 5 | 10% |
| Unknown | 12 | 24% |
Attention Score in Context
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 30 March 2013.
All research outputs
#20,195,024
of 22,712,476 outputs
Outputs from Behavioral and Brain Functions
#333
of 391 outputs
Outputs of similar age
#90,274
of 93,855 outputs
Outputs of similar age from Behavioral and Brain Functions
#7
of 8 outputs
Altmetric has tracked 22,712,476 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 391 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.9. This one is in the 1st percentile – i.e., 1% 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 93,855 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one.