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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A method for high-throughput gene expression signature analysis
|
|---|---|
| Published in |
Genome Biology, July 2006
|
| DOI | 10.1186/gb-2006-7-7-r61 |
| Pubmed ID | |
| Authors |
David Peck, Emily D Crawford, Kenneth N Ross, Kimberly Stegmaier, Todd R Golub, Justin Lamb |
| Abstract |
Genome-wide transcriptional profiling has shown that different biologic states (for instance, disease and response to pharmacologic manipulation) can be recognized by the expression pattern of relatively small numbers of genes. However, the lack of a practical and cost-effective technology for detection of these gene expression 'signatures' in large numbers of samples has severely limited their exploitation in important medical and pharmaceutical discovery applications. Here, we describe a solution based on the combination of ligation-mediated amplification with an optically addressed microsphere and flow cytometric detection system. |
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 % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 218 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 10 | 5% |
| Italy | 1 | <1% |
| Austria | 1 | <1% |
| Czechia | 1 | <1% |
| France | 1 | <1% |
| Ukraine | 1 | <1% |
| United Kingdom | 1 | <1% |
| Belgium | 1 | <1% |
| Canada | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 200 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 68 | 31% |
| Student > Ph. D. Student | 54 | 25% |
| Professor > Associate Professor | 15 | 7% |
| Professor | 13 | 6% |
| Student > Master | 12 | 6% |
| Other | 37 | 17% |
| Unknown | 19 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 80 | 37% |
| Biochemistry, Genetics and Molecular Biology | 39 | 18% |
| Medicine and Dentistry | 26 | 12% |
| Computer Science | 14 | 6% |
| Chemistry | 13 | 6% |
| Other | 19 | 9% |
| Unknown | 27 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 10 March 2022.
All research outputs
#3,621,892
of 25,374,647 outputs
Outputs from Genome Biology
#2,501
of 4,467 outputs
Outputs of similar age
#8,945
of 90,744 outputs
Outputs of similar age from Genome Biology
#7
of 28 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 85th 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 43rd percentile – i.e., 43% 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 90,744 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 89% of its contemporaries.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.