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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Meta-analysis and genome-wide interpretation of genetic susceptibility to drug addiction
|
|---|---|
| Published in |
BMC Genomics, October 2011
|
| DOI | 10.1186/1471-2164-12-508 |
| Pubmed ID | |
| Authors |
Chuan-Yun Li, Wei-Zhen Zhou, Ping-Wu Zhang, Catherine Johnson, Liping Wei, George R Uhl |
| Abstract |
Classical genetic studies provide strong evidence for heritable contributions to susceptibility to developing dependence on addictive substances. Candidate gene and genome-wide association studies (GWAS) have sought genes, chromosomal regions and allelic variants likely to contribute to susceptibility to drug addiction. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 3% |
| Portugal | 1 | 1% |
| Brazil | 1 | 1% |
| Pakistan | 1 | 1% |
| Romania | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 64 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 16 | 23% |
| Other | 8 | 11% |
| Student > Ph. D. Student | 8 | 11% |
| Student > Master | 7 | 10% |
| Student > Bachelor | 7 | 10% |
| Other | 16 | 23% |
| Unknown | 9 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 18% |
| Agricultural and Biological Sciences | 11 | 15% |
| Biochemistry, Genetics and Molecular Biology | 10 | 14% |
| Psychology | 8 | 11% |
| Computer Science | 6 | 8% |
| Other | 11 | 15% |
| Unknown | 12 | 17% |
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 19 October 2011.
All research outputs
#7,409,093
of 22,653,392 outputs
Outputs from BMC Genomics
#3,581
of 10,607 outputs
Outputs of similar age
#46,119
of 136,716 outputs
Outputs of similar age from BMC Genomics
#32
of 95 outputs
Altmetric has tracked 22,653,392 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,607 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 59% 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 136,716 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 95 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 57% of its contemporaries.