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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Hierarchical Bayesian modelling of gene expression time series across irregularly sampled replicates and clusters
|
|---|---|
| Published in |
BMC Bioinformatics, August 2013
|
| DOI | 10.1186/1471-2105-14-252 |
| Pubmed ID | |
| Authors |
James Hensman, Neil D Lawrence, Magnus Rattray |
X Demographics
The data shown below were collected from the profiles of 3 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 | 2 | 67% |
| United Kingdom | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 171 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 2% |
| United Kingdom | 4 | 2% |
| Brazil | 1 | <1% |
| Sweden | 1 | <1% |
| Netherlands | 1 | <1% |
| India | 1 | <1% |
| Spain | 1 | <1% |
| Russia | 1 | <1% |
| Unknown | 157 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 50 | 29% |
| Researcher | 43 | 25% |
| Student > Master | 14 | 8% |
| Student > Bachelor | 11 | 6% |
| Student > Doctoral Student | 8 | 5% |
| Other | 31 | 18% |
| Unknown | 14 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 54 | 32% |
| Computer Science | 35 | 20% |
| Biochemistry, Genetics and Molecular Biology | 21 | 12% |
| Engineering | 12 | 7% |
| Mathematics | 10 | 6% |
| Other | 17 | 10% |
| Unknown | 22 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 02 March 2023.
All research outputs
#7,304,457
of 26,017,215 outputs
Outputs from BMC Bioinformatics
#2,554
of 7,793 outputs
Outputs of similar age
#58,159
of 214,379 outputs
Outputs of similar age from BMC Bioinformatics
#34
of 82 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 7,793 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has gotten more attention than average, scoring higher than 66% 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 214,379 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 71% of its contemporaries.
We're also able to compare this research output to 82 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 58% of its contemporaries.