| Title |
Chipster: user-friendly analysis software for microarray and other high-throughput data
|
|---|---|
| Published in |
BMC Genomics, October 2011
|
| DOI | 10.1186/1471-2164-12-507 |
| Pubmed ID | |
| Authors |
M Aleksi Kallio, Jarno T Tuimala, Taavi Hupponen, Petri Klemelä, Massimiliano Gentile, Ilari Scheinin, Mikko Koski, Janne Käki, Eija I Korpelainen |
X Demographics
The data shown below were collected from the profiles of 5 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 | 1 | 20% |
| Unknown | 4 | 80% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 323 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 3 | <1% |
| United States | 3 | <1% |
| Finland | 3 | <1% |
| Portugal | 2 | <1% |
| Mexico | 2 | <1% |
| Norway | 1 | <1% |
| France | 1 | <1% |
| Israel | 1 | <1% |
| Sweden | 1 | <1% |
| Other | 9 | 3% |
| Unknown | 297 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 94 | 29% |
| Student > Ph. D. Student | 69 | 21% |
| Student > Master | 39 | 12% |
| Other | 15 | 5% |
| Student > Doctoral Student | 15 | 5% |
| Other | 43 | 13% |
| Unknown | 48 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 125 | 39% |
| Biochemistry, Genetics and Molecular Biology | 69 | 21% |
| Computer Science | 26 | 8% |
| Medicine and Dentistry | 17 | 5% |
| Neuroscience | 5 | 2% |
| Other | 25 | 8% |
| Unknown | 56 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 May 2016.
All research outputs
#5,466,525
of 25,837,817 outputs
Outputs from BMC Genomics
#2,123
of 11,367 outputs
Outputs of similar age
#30,116
of 153,043 outputs
Outputs of similar age from BMC Genomics
#18
of 96 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,367 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done well, scoring higher than 80% 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 153,043 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 96 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.