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Mendeley readers
Attention Score in Context
| Title |
Representational Oligonucleotide Microarray Analysis: A High-Resolution Method to Detect Genome Copy Number Variation
|
|---|---|
| Published in |
Genome Research, January 2003
|
| DOI | 10.1101/gr.1349003 |
| Pubmed ID | |
| Authors |
Robert Lucito, John Healy, Joan Alexander, Andrew Reiner, Diane Esposito, Maoyen Chi, Linda Rodgers, Amy Brady, Jonathan Sebat, Jennifer Troge, Joseph A West, Seth Rostan, Ken C Q Nguyen, Scott Powers, Kenneth Q Ye, Adam Olshen, Ennapadam Venkatraman, Larry Norton, Michael Wigler |
Mendeley readers
The data shown below were compiled from readership statistics for 215 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 8 | 4% |
| United Kingdom | 4 | 2% |
| Australia | 2 | <1% |
| Germany | 2 | <1% |
| Belgium | 2 | <1% |
| Portugal | 1 | <1% |
| Netherlands | 1 | <1% |
| Canada | 1 | <1% |
| Japan | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 192 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 67 | 31% |
| Student > Ph. D. Student | 39 | 18% |
| Student > Bachelor | 22 | 10% |
| Student > Master | 18 | 8% |
| Professor > Associate Professor | 16 | 7% |
| Other | 35 | 16% |
| Unknown | 18 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 101 | 47% |
| Biochemistry, Genetics and Molecular Biology | 36 | 17% |
| Medicine and Dentistry | 26 | 12% |
| Engineering | 9 | 4% |
| Computer Science | 7 | 3% |
| Other | 15 | 7% |
| Unknown | 21 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 18. 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 April 2024.
All research outputs
#2,053,838
of 25,374,917 outputs
Outputs from Genome Research
#1,001
of 4,425 outputs
Outputs of similar age
#4,255
of 136,764 outputs
Outputs of similar age from Genome Research
#6
of 56 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,425 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.3. This one has done well, scoring higher than 77% 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 136,764 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.