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X Demographics
Mendeley readers
Attention Score in Context
| Title |
CNV Workshop: an integrated platform for high-throughput copy number variation discovery and clinical diagnostics
|
|---|---|
| Published in |
BMC Bioinformatics, February 2010
|
| DOI | 10.1186/1471-2105-11-74 |
| Pubmed ID | |
| Authors |
Xiaowu Gai, Juan C Perin, Kevin Murphy, Ryan O'Hara, Monica D'arcy, Adam Wenocur, Hongbo M Xie, Eric F Rappaport, Tamim H Shaikh, Peter S White |
| Abstract |
Recent studies have shown that copy number variations (CNVs) are frequent in higher eukaryotes and associated with a substantial portion of inherited and acquired risk for various human diseases. The increasing availability of high-resolution genome surveillance platforms provides opportunity for rapidly assessing research and clinical samples for CNV content, as well as for determining the potential pathogenicity of identified variants. However, few informatics tools for accurate and efficient CNV detection and assessment currently exist. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 120 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Belgium | 3 | 3% |
| United States | 3 | 3% |
| Brazil | 3 | 3% |
| Netherlands | 2 | 2% |
| France | 2 | 2% |
| United Kingdom | 2 | 2% |
| Italy | 1 | <1% |
| South Africa | 1 | <1% |
| Switzerland | 1 | <1% |
| Other | 2 | 2% |
| Unknown | 100 | 83% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 49 | 41% |
| Student > Ph. D. Student | 20 | 17% |
| Professor > Associate Professor | 8 | 7% |
| Student > Doctoral Student | 7 | 6% |
| Student > Master | 7 | 6% |
| Other | 21 | 18% |
| Unknown | 8 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 65 | 54% |
| Biochemistry, Genetics and Molecular Biology | 19 | 16% |
| Medicine and Dentistry | 10 | 8% |
| Computer Science | 6 | 5% |
| Mathematics | 3 | 3% |
| Other | 9 | 8% |
| Unknown | 8 | 7% |
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 26 October 2011.
All research outputs
#15,237,301
of 22,655,397 outputs
Outputs from BMC Bioinformatics
#5,353
of 7,236 outputs
Outputs of similar age
#134,506
of 164,872 outputs
Outputs of similar age from BMC Bioinformatics
#42
of 64 outputs
Altmetric has tracked 22,655,397 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,236 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 18th percentile – i.e., 18% 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 164,872 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 64 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.