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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Empirical Bayesian analysis of paired high-throughput sequencing data with a beta-binomial distribution
|
|---|---|
| Published in |
BMC Bioinformatics, April 2013
|
| DOI | 10.1186/1471-2105-14-135 |
| Pubmed ID | |
| Authors |
Thomas J Hardcastle, Krystyna A Kelly |
| Abstract |
Pairing of samples arises naturally in many genomic experiments; for example, gene expression in tumour and normal tissue from the same patients. Methods for analysing high-throughput sequencing data from such experiments are required to identify differential expression, both within paired samples and between pairs under different experimental conditions. |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 17% |
| Germany | 1 | 17% |
| United States | 1 | 17% |
| Sweden | 1 | 17% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 67% |
| Members of the public | 2 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 5% |
| United Kingdom | 2 | 3% |
| Argentina | 1 | 2% |
| Sweden | 1 | 2% |
| Russia | 1 | 2% |
| Denmark | 1 | 2% |
| Unknown | 57 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 23 | 35% |
| Student > Ph. D. Student | 9 | 14% |
| Student > Bachelor | 6 | 9% |
| Professor > Associate Professor | 6 | 9% |
| Professor | 5 | 8% |
| Other | 10 | 15% |
| Unknown | 7 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 22 | 33% |
| Computer Science | 9 | 14% |
| Engineering | 5 | 8% |
| Mathematics | 4 | 6% |
| Biochemistry, Genetics and Molecular Biology | 4 | 6% |
| Other | 10 | 15% |
| Unknown | 12 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 14 January 2016.
All research outputs
#7,428,205
of 22,708,120 outputs
Outputs from BMC Bioinformatics
#3,025
of 7,256 outputs
Outputs of similar age
#65,055
of 195,118 outputs
Outputs of similar age from BMC Bioinformatics
#61
of 124 outputs
Altmetric has tracked 22,708,120 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,256 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 50% 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 195,118 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 50% of its contemporaries.
We're also able to compare this research output to 124 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 50% of its contemporaries.