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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Efficient cellular fractionation improves RNA sequencing analysis of mature and nascent transcripts from human tissues
|
|---|---|
| Published in |
BMC Biotechnology, November 2013
|
| DOI | 10.1186/1472-6750-13-99 |
| Pubmed ID | |
| Authors |
Ammar Zaghlool, Adam Ameur, Linnea Nyberg, Jonatan Halvardson, Manfred Grabherr, Lucia Cavelier, Lars Feuk |
| Abstract |
The starting material for RNA sequencing (RNA-seq) studies is usually total RNA or polyA+ RNA. Both forms of RNA represent heterogeneous pools of RNA molecules at different levels of maturation and processing. Such heterogeneity, in addition to the biases associated with polyA+ purification steps, may influence the analysis, sensitivity and the interpretation of RNA-seq data. We hypothesize that subcellular fractions of RNA may provide a more accurate picture of gene expression. |
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 109 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 2% |
| United States | 2 | 2% |
| Spain | 1 | <1% |
| Unknown | 104 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 31 | 28% |
| Researcher | 20 | 18% |
| Student > Master | 12 | 11% |
| Student > Doctoral Student | 11 | 10% |
| Student > Postgraduate | 6 | 6% |
| Other | 15 | 14% |
| Unknown | 14 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 46 | 42% |
| Biochemistry, Genetics and Molecular Biology | 25 | 23% |
| Medicine and Dentistry | 8 | 7% |
| Neuroscience | 4 | 4% |
| Mathematics | 2 | 2% |
| Other | 8 | 7% |
| Unknown | 16 | 15% |
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 05 December 2013.
All research outputs
#15,284,663
of 22,729,647 outputs
Outputs from BMC Biotechnology
#668
of 935 outputs
Outputs of similar age
#130,421
of 212,391 outputs
Outputs of similar age from BMC Biotechnology
#17
of 20 outputs
Altmetric has tracked 22,729,647 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 935 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one is in the 22nd percentile – i.e., 22% 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 212,391 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.