| Title |
A Simple Approach to Ranking Differentially Expressed Gene Expression Time Courses through Gaussian Process Regression
|
|---|---|
| Published in |
BMC Bioinformatics, May 2011
|
| DOI | 10.1186/1471-2105-12-180 |
| Pubmed ID | |
| Authors |
Alfredo A Kalaitzis, Neil D Lawrence |
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 Kingdom | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 33% |
| Scientists | 1 | 33% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 152 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 4% |
| France | 2 | 1% |
| Finland | 2 | 1% |
| Chile | 1 | <1% |
| Canada | 1 | <1% |
| United Kingdom | 1 | <1% |
| Japan | 1 | <1% |
| Russia | 1 | <1% |
| Unknown | 137 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 39 | 26% |
| Researcher | 39 | 26% |
| Student > Master | 13 | 9% |
| Student > Bachelor | 12 | 8% |
| Student > Postgraduate | 10 | 7% |
| Other | 27 | 18% |
| Unknown | 12 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 54 | 36% |
| Computer Science | 28 | 18% |
| Biochemistry, Genetics and Molecular Biology | 22 | 14% |
| Mathematics | 9 | 6% |
| Engineering | 9 | 6% |
| Other | 12 | 8% |
| Unknown | 18 | 12% |
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 01 September 2021.
All research outputs
#6,981,937
of 26,017,215 outputs
Outputs from BMC Bioinformatics
#2,388
of 7,793 outputs
Outputs of similar age
#38,495
of 127,939 outputs
Outputs of similar age from BMC Bioinformatics
#27
of 92 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 72nd 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 68% 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 127,939 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 68% of its contemporaries.
We're also able to compare this research output to 92 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 69% of its contemporaries.