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X Demographics
Mendeley readers
Attention Score in Context
| Title |
BASE - 2nd generation software for microarray data management and analysis
|
|---|---|
| Published in |
BMC Bioinformatics, October 2009
|
| DOI | 10.1186/1471-2105-10-330 |
| Pubmed ID | |
| Authors |
Johan Vallon-Christersson, Nicklas Nordborg, Martin Svensson, Jari Häkkinen |
| Abstract |
Microarray experiments are increasing in size and samples are collected asynchronously over long time. Available data are re-analysed as more samples are hybridized. Systematic use of collected data requires tracking of biomaterials, array information, raw data, and assembly of annotations. To meet the information tracking and data analysis challenges in microarray experiments we reimplemented and improved BASE version 1.2. |
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 % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 4% |
| Germany | 1 | 1% |
| France | 1 | 1% |
| Italy | 1 | 1% |
| Indonesia | 1 | 1% |
| Sweden | 1 | 1% |
| South Africa | 1 | 1% |
| United Kingdom | 1 | 1% |
| Brazil | 1 | 1% |
| Other | 4 | 6% |
| Unknown | 56 | 79% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 25 | 35% |
| Student > Ph. D. Student | 14 | 20% |
| Other | 11 | 15% |
| Student > Master | 9 | 13% |
| Student > Bachelor | 5 | 7% |
| Other | 6 | 8% |
| Unknown | 1 | 1% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 35 | 49% |
| Computer Science | 16 | 23% |
| Medicine and Dentistry | 7 | 10% |
| Biochemistry, Genetics and Molecular Biology | 4 | 6% |
| Chemistry | 2 | 3% |
| Other | 5 | 7% |
| Unknown | 2 | 3% |
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 16 April 2014.
All research outputs
#18,370,767
of 22,753,345 outputs
Outputs from BMC Bioinformatics
#6,302
of 7,269 outputs
Outputs of similar age
#85,214
of 93,339 outputs
Outputs of similar age from BMC Bioinformatics
#54
of 59 outputs
Altmetric has tracked 22,753,345 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,269 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 5th percentile – i.e., 5% 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 93,339 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 59 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.