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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Principal components analysis based methodology to identify differentially expressed genes in time-course microarray data
|
|---|---|
| Published in |
BMC Bioinformatics, June 2008
|
| DOI | 10.1186/1471-2105-9-267 |
| Pubmed ID | |
| Authors |
Sudhakar Jonnalagadda, Rajagopalan Srinivasan |
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 % |
|---|---|---|
| United Kingdom | 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 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 1% |
| Austria | 1 | 1% |
| Brazil | 1 | 1% |
| United Kingdom | 1 | 1% |
| Russia | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 66 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 22 | 31% |
| Researcher | 21 | 29% |
| Other | 6 | 8% |
| Student > Master | 6 | 8% |
| Lecturer | 4 | 6% |
| Other | 5 | 7% |
| Unknown | 8 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 31 | 43% |
| Computer Science | 10 | 14% |
| Biochemistry, Genetics and Molecular Biology | 7 | 10% |
| Mathematics | 5 | 7% |
| Nursing and Health Professions | 1 | 1% |
| Other | 6 | 8% |
| Unknown | 12 | 17% |
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 03 November 2016.
All research outputs
#20,336,685
of 22,881,964 outputs
Outputs from BMC Bioinformatics
#6,872
of 7,298 outputs
Outputs of similar age
#79,330
of 82,526 outputs
Outputs of similar age from BMC Bioinformatics
#44
of 45 outputs
Altmetric has tracked 22,881,964 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,298 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 1st percentile – i.e., 1% 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 82,526 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.