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Mendeley readers
Attention Score in Context
| Title |
Analysis of molecular inversion probe performance for allele copy number determination
|
|---|---|
| Published in |
Genome Biology, November 2007
|
| DOI | 10.1186/gb-2007-8-11-r246 |
| Pubmed ID | |
| Authors |
Yuker Wang, Martin Moorhead, George Karlin-Neumann, Nicholas J Wang, James Ireland, Steven Lin, Chunnuan Chen, Laura M Heiser, Koei Chin, Laura Esserman, Joe W Gray, Paul T Spellman, Malek Faham |
| Abstract |
We have developed a new protocol for using molecular inversion probes to accurately and specifically measure allele copy number. The new protocol provides for significant improvements, including the reduction of input DNA (from 2 mug) by more than 25-fold (to 75 ng total genomic DNA), higher overall precision resulting in one order of magnitude lower false positive rate, and greater dynamic range with accurate absolute copy number up to 60 copies. |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 2% |
| Netherlands | 1 | 2% |
| United States | 1 | 2% |
| France | 1 | 2% |
| Unknown | 39 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 30% |
| Researcher | 12 | 28% |
| Other | 6 | 14% |
| Student > Bachelor | 3 | 7% |
| Professor | 2 | 5% |
| Other | 2 | 5% |
| Unknown | 5 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 20 | 47% |
| Medicine and Dentistry | 10 | 23% |
| Biochemistry, Genetics and Molecular Biology | 6 | 14% |
| Mathematics | 1 | 2% |
| Social Sciences | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 4 | 9% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 16 April 2024.
All research outputs
#5,446,994
of 25,374,647 outputs
Outputs from Genome Biology
#2,944
of 4,467 outputs
Outputs of similar age
#22,851
of 165,250 outputs
Outputs of similar age from Genome Biology
#13
of 41 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 32nd percentile – i.e., 32% 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 165,250 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 80% of its contemporaries.
We're also able to compare this research output to 41 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 65% of its contemporaries.