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Mendeley readers
Attention Score in Context
| Title |
A Robust Algorithm for Copy Number Detection Using High-Density Oligonucleotide Single Nucleotide Polymorphism Genotyping Arrays
|
|---|---|
| Published in |
Cancer Research, July 2005
|
| DOI | 10.1158/0008-5472.can-05-0465 |
| Pubmed ID | |
| Authors |
Yasuhito Nannya, Masashi Sanada, Kumi Nakazaki, Noriko Hosoya, Lili Wang, Akira Hangaishi, Mineo Kurokawa, Shigeru Chiba, Dione K. Bailey, Giulia C. Kennedy, Seishi Ogawa |
Mendeley readers
The data shown below were compiled from readership statistics for 161 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 4% |
| Germany | 3 | 2% |
| United Kingdom | 3 | 2% |
| South Africa | 2 | 1% |
| Belgium | 2 | 1% |
| Japan | 2 | 1% |
| Sweden | 1 | <1% |
| Canada | 1 | <1% |
| Czechia | 1 | <1% |
| Other | 2 | 1% |
| Unknown | 138 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 42 | 26% |
| Student > Ph. D. Student | 36 | 22% |
| Professor > Associate Professor | 21 | 13% |
| Student > Master | 13 | 8% |
| Professor | 9 | 6% |
| Other | 34 | 21% |
| Unknown | 6 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 71 | 44% |
| Medicine and Dentistry | 39 | 24% |
| Biochemistry, Genetics and Molecular Biology | 20 | 12% |
| Computer Science | 10 | 6% |
| Mathematics | 6 | 4% |
| Other | 8 | 5% |
| Unknown | 7 | 4% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 02 April 2024.
All research outputs
#3,380,475
of 23,377,816 outputs
Outputs from Cancer Research
#2,904
of 18,097 outputs
Outputs of similar age
#6,286
of 58,290 outputs
Outputs of similar age from Cancer Research
#23
of 243 outputs
Altmetric has tracked 23,377,816 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 18,097 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.8. This one has done well, scoring higher than 80% 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 58,290 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 85% of its contemporaries.
We're also able to compare this research output to 243 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.