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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A user-friendly workflow for analysis of Illumina gene expression bead array data available at the arrayanalysis.org portal
|
|---|---|
| Published in |
BMC Genomics, June 2015
|
| DOI | 10.1186/s12864-015-1689-8 |
| Pubmed ID | |
| Authors |
Lars M.T. Eijssen, Varshna S. Goelela, Thomas Kelder, Michiel E. Adriaens, Chris T. Evelo, Marijana Radonjic |
| Abstract |
Illumina whole-genome expression bead arrays are a widely used platform for transcriptomics. Most of the tools available for the analysis of the resulting data are not easily applicable by less experienced users. ArrayAnalysis.org provides researchers with an easy-to-use and comprehensive interface to the functionality of R and Bioconductor packages for microarray data analysis. As a modular open source project, it allows developers to contribute modules that provide support for additional types of data or extend workflows. To enable data analysis of Illumina bead arrays for a broad user community, we have developed a module for ArrayAnalysis.org that provides a free and user-friendly web interface for quality control and pre-processing for these arrays. This module can be used together with existing modules for statistical and pathway analysis to provide a full workflow for Illumina gene expression data analysis. The module accepts data exported from Illumina's GenomeStudio, and provides the user with quality control plots and normalized data. The outputs are directly linked to the existing statistics module of ArrayAnalysis.org, but can also be downloaded for further downstream analysis in third-party tools. The Illumina bead arrays analysis module is available at http://www.arrayanalysis.org . A user guide, a tutorial demonstrating the analysis of an example dataset, and R scripts are available. The module can be used as a starting point for statistical evaluation and pathway analysis provided on the website or to generate processed input data for a broad range of applications in life sciences research. |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 3 | 43% |
| United States | 1 | 14% |
| Canada | 1 | 14% |
| Unknown | 2 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 57% |
| Scientists | 3 | 43% |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 3 | 6% |
| Chile | 1 | 2% |
| Spain | 1 | 2% |
| Unknown | 44 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 24% |
| Researcher | 8 | 16% |
| Student > Master | 7 | 14% |
| Student > Bachelor | 6 | 12% |
| Student > Doctoral Student | 2 | 4% |
| Other | 7 | 14% |
| Unknown | 7 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 17 | 35% |
| Biochemistry, Genetics and Molecular Biology | 8 | 16% |
| Computer Science | 4 | 8% |
| Medicine and Dentistry | 4 | 8% |
| Business, Management and Accounting | 2 | 4% |
| Other | 7 | 14% |
| Unknown | 7 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 05 January 2016.
All research outputs
#7,228,364
of 24,143,470 outputs
Outputs from BMC Genomics
#3,152
of 10,916 outputs
Outputs of similar age
#79,655
of 267,053 outputs
Outputs of similar age from BMC Genomics
#86
of 246 outputs
Altmetric has tracked 24,143,470 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 10,916 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 71% 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 267,053 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 246 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.