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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Expression profiling of Epstein-Barr virus-encoded microRNAs from paraffin-embedded formalin-fixed primary Epstein-Barr virus-positive B-cell lymphoma samples
|
|---|---|
| Published in |
Journal of Virological Methods, May 2012
|
| DOI | 10.1016/j.jviromet.2012.05.005 |
| Pubmed ID | |
| Authors |
Jamie P. Nourse, Pauline Crooks, Colm Keane, Nguyen-Van, Sally Mujaj, Nathan Ross, Kimberley Jones, Frank Vari, Erica Han, Ralf Trappe, Susanne Fink, Maher K. Gandhi |
| Abstract |
Epstein-Barr virus (EBV) is implicated in a range of B-cell malignancies and expresses unique microRNAs (EBV-miRNAs). Due to the requirements for high-quality RNA, studies profiling EBV-miRNA in EBV-positive lymphomas have been restricted to cell-lines or frozen samples. However, the most commonly available archived patient material is paraffin-embedded formalin-fixed (FFPE) tissue. This has impeded the widespread profiling of EBV-miRNA expression in clinical samples. The requirements for accurate EBV-miRNA real-time RT-PCR quantitation in FFPE tissues representing a broad-spectrum of EBV-positive lymphomas were determined systematically, including where the neoplastic cells are sparse relative to the non-malignant infiltrate. The level of cellular EBV-load correlated strongly with the sum of EBV-miRNA expression and the number of EBV-miRNAs detectable. As calibrators for cellular EBV-load, the sum EBV-miRNA was optimal to EBV-genome copy number and EBER2 expression level, with the added advantage of not requiring additional assays. EBV-miRNA was profiled reliably within archival FFPE tissue in 14/23 patients, but not in tissues with low abundance EBV. This method enabled specific and simultaneous detection of numerous EBV-miRNAs in FFPE lymphoma samples that contain EBV at high to medium levels, making it as a useful tool for studies of EBV-miRNA in the majority of diagnostic biopsies. |
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 % |
|---|---|---|
| Unknown | 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 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 17% |
| Student > Master | 3 | 13% |
| Student > Bachelor | 2 | 9% |
| Professor | 2 | 9% |
| Researcher | 2 | 9% |
| Other | 7 | 30% |
| Unknown | 3 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 35% |
| Agricultural and Biological Sciences | 7 | 30% |
| Biochemistry, Genetics and Molecular Biology | 3 | 13% |
| Immunology and Microbiology | 1 | 4% |
| Veterinary Science and Veterinary Medicine | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 3 | 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 23 May 2012.
All research outputs
#20,656,161
of 25,373,627 outputs
Outputs from Journal of Virological Methods
#2,795
of 3,282 outputs
Outputs of similar age
#137,941
of 176,395 outputs
Outputs of similar age from Journal of Virological Methods
#16
of 23 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,282 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 9th percentile – i.e., 9% 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 176,395 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 23 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.