| Title |
Multiple platform assessment of the EGF dependent transcriptome by microarray and deep tag sequencing analysis
|
|---|---|
| Published in |
BMC Genomics, June 2011
|
| DOI | 10.1186/1471-2164-12-326 |
| Pubmed ID | |
| Authors |
Franc Llorens, Manuela Hummel, Xavier Pastor, Anna Ferrer, Raquel Pluvinet, Ana Vivancos, Ester Castillo, Susana Iraola, Ana M Mosquera, Eva González, Juanjo Lozano, Matthew Ingham, Juliane C Dohm, Marc Noguera, Robert Kofler, Jose Antonio del Río, Mònica Bayés, Heinz Himmelbauer, Lauro Sumoy |
| Abstract |
Epidermal Growth Factor (EGF) is a key regulatory growth factor activating many processes relevant to normal development and disease, affecting cell proliferation and survival. Here we use a combined approach to study the EGF dependent transcriptome of HeLa cells by using multiple long oligonucleotide based microarray platforms (from Agilent, Operon, and Illumina) in combination with digital gene expression profiling (DGE) with the Illumina Genome Analyzer. |
Mendeley readers
The data shown below were compiled from readership statistics for 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 3% |
| France | 1 | 1% |
| Cuba | 1 | 1% |
| Austria | 1 | 1% |
| Portugal | 1 | 1% |
| Argentina | 1 | 1% |
| United Kingdom | 1 | 1% |
| Spain | 1 | 1% |
| Russia | 1 | 1% |
| Other | 0 | 0% |
| Unknown | 83 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 25 | 27% |
| Student > Ph. D. Student | 21 | 22% |
| Student > Bachelor | 8 | 9% |
| Student > Doctoral Student | 7 | 7% |
| Professor > Associate Professor | 6 | 6% |
| Other | 21 | 22% |
| Unknown | 6 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 44 | 47% |
| Medicine and Dentistry | 14 | 15% |
| Biochemistry, Genetics and Molecular Biology | 9 | 10% |
| Computer Science | 7 | 7% |
| Neuroscience | 3 | 3% |
| Other | 9 | 10% |
| Unknown | 8 | 9% |
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 18 August 2011.
All research outputs
#20,148,663
of 22,655,397 outputs
Outputs from BMC Genomics
#9,235
of 10,607 outputs
Outputs of similar age
#106,518
of 115,065 outputs
Outputs of similar age from BMC Genomics
#83
of 87 outputs
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So far Altmetric has tracked 10,607 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 87 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.