| Title |
Content-based microarray search using differential expression profiles
|
|---|---|
| Published in |
BMC Bioinformatics, December 2010
|
| DOI | 10.1186/1471-2105-11-603 |
| Pubmed ID | |
| Authors |
Jesse M Engreitz, Alexander A Morgan, Joel T Dudley, Rong Chen, Rahul Thathoo, Russ B Altman, Atul J Butte |
| Abstract |
With the expansion of public repositories such as the Gene Expression Omnibus (GEO), we are rapidly cataloging cellular transcriptional responses to diverse experimental conditions. Methods that query these repositories based on gene expression content, rather than textual annotations, may enable more effective experiment retrieval as well as the discovery of novel associations between drugs, diseases, and other perturbations. |
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 % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 8 | 8% |
| United Kingdom | 2 | 2% |
| France | 1 | <1% |
| Ireland | 1 | <1% |
| Germany | 1 | <1% |
| Finland | 1 | <1% |
| Japan | 1 | <1% |
| Canada | 1 | <1% |
| Unknown | 86 | 84% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 27 | 26% |
| Student > Ph. D. Student | 26 | 25% |
| Professor > Associate Professor | 13 | 13% |
| Professor | 7 | 7% |
| Other | 5 | 5% |
| Other | 13 | 13% |
| Unknown | 11 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 39 | 38% |
| Computer Science | 15 | 15% |
| Medicine and Dentistry | 13 | 13% |
| Biochemistry, Genetics and Molecular Biology | 11 | 11% |
| Engineering | 3 | 3% |
| Other | 8 | 8% |
| Unknown | 13 | 13% |
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 19 February 2013.
All research outputs
#15,263,666
of 22,696,971 outputs
Outputs from BMC Bioinformatics
#5,362
of 7,254 outputs
Outputs of similar age
#141,484
of 181,809 outputs
Outputs of similar age from BMC Bioinformatics
#36
of 52 outputs
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