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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Bayesian hierarchical clustering for microarray time series data with replicates and outlier measurements
|
|---|---|
| Published in |
BMC Bioinformatics, October 2011
|
| DOI | 10.1186/1471-2105-12-399 |
| Pubmed ID | |
| Authors |
Emma J Cooke, Richard S Savage, Paul DW Kirk, Robert Darkins, David L Wild |
| Abstract |
Post-genomic molecular biology has resulted in an explosion of data, providing measurements for large numbers of genes, proteins and metabolites. Time series experiments have become increasingly common, necessitating the development of novel analysis tools that capture the resulting data structure. Outlier measurements at one or more time points present a significant challenge, while potentially valuable replicate information is often ignored by existing techniques. |
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 129 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 2% |
| Germany | 2 | 2% |
| United Kingdom | 2 | 2% |
| Italy | 1 | <1% |
| Canada | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Unknown | 119 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 41 | 32% |
| Researcher | 29 | 22% |
| Student > Bachelor | 10 | 8% |
| Other | 10 | 8% |
| Student > Master | 9 | 7% |
| Other | 18 | 14% |
| Unknown | 12 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 44 | 34% |
| Computer Science | 18 | 14% |
| Biochemistry, Genetics and Molecular Biology | 14 | 11% |
| Mathematics | 14 | 11% |
| Medicine and Dentistry | 6 | 5% |
| Other | 17 | 13% |
| Unknown | 16 | 12% |
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 19 October 2011.
All research outputs
#17,713,190
of 22,776,824 outputs
Outputs from BMC Bioinformatics
#5,927
of 7,276 outputs
Outputs of similar age
#110,883
of 136,081 outputs
Outputs of similar age from BMC Bioinformatics
#80
of 90 outputs
Altmetric has tracked 22,776,824 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 7,276 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 18th percentile – i.e., 18% 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 136,081 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 90 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.