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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Transcript length bias in RNA-seq data confounds systems biology
|
|---|---|
| Published in |
Biology Direct, April 2009
|
| DOI | 10.1186/1745-6150-4-14 |
| Pubmed ID | |
| Authors |
Alicia Oshlack, Matthew J Wakefield |
| Abstract |
Several recent studies have demonstrated the effectiveness of deep sequencing for transcriptome analysis (RNA-seq) in mammals. As RNA-seq becomes more affordable, whole genome transcriptional profiling is likely to become the platform of choice for species with good genomic sequences. As yet, a rigorous analysis methodology has not been developed and we are still in the stages of exploring the features of the data. |
X Demographics
The data shown below were collected from the profiles of 14 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 29% |
| New Zealand | 1 | 7% |
| United Kingdom | 1 | 7% |
| France | 1 | 7% |
| Australia | 1 | 7% |
| Unknown | 6 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 10 | 71% |
| Members of the public | 4 | 29% |
Mendeley readers
The data shown below were compiled from readership statistics for 1,105 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 46 | 4% |
| United Kingdom | 19 | 2% |
| Sweden | 9 | <1% |
| France | 7 | <1% |
| Germany | 6 | <1% |
| Brazil | 5 | <1% |
| Italy | 5 | <1% |
| Mexico | 3 | <1% |
| Spain | 2 | <1% |
| Other | 20 | 2% |
| Unknown | 983 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 306 | 28% |
| Researcher | 286 | 26% |
| Student > Master | 120 | 11% |
| Student > Bachelor | 67 | 6% |
| Other | 53 | 5% |
| Other | 180 | 16% |
| Unknown | 93 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 616 | 56% |
| Biochemistry, Genetics and Molecular Biology | 182 | 16% |
| Computer Science | 54 | 5% |
| Medicine and Dentistry | 33 | 3% |
| Mathematics | 33 | 3% |
| Other | 81 | 7% |
| Unknown | 106 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 27. 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 15 August 2022.
All research outputs
#1,438,704
of 25,374,917 outputs
Outputs from Biology Direct
#32
of 537 outputs
Outputs of similar age
#3,440
of 97,208 outputs
Outputs of similar age from Biology Direct
#1
of 6 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 537 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one has done particularly well, scoring higher than 94% 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 97,208 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them