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X Demographics
Mendeley readers
Attention Score in Context
| Title |
EMMA 2 – A MAGE-compliant system for the collaborative analysis and integration of microarray data
|
|---|---|
| Published in |
BMC Bioinformatics, February 2009
|
| DOI | 10.1186/1471-2105-10-50 |
| Pubmed ID | |
| Authors |
Michael Dondrup, Stefan P Albaum, Thasso Griebel, Kolja Henckel, Sebastian Jünemann, Tim Kahlke, Christiane K Kleindt, Helge Küster, Burkhard Linke, Dominik Mertens, Virginie Mittard-Runte, Heiko Neuweger, Kai J Runte, Andreas Tauch, Felix Tille, Alfred Pühler, Alexander Goesmann |
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 % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 3% |
| United Kingdom | 2 | 3% |
| Norway | 1 | 1% |
| Australia | 1 | 1% |
| Germany | 1 | 1% |
| Portugal | 1 | 1% |
| Brazil | 1 | 1% |
| Belgium | 1 | 1% |
| Canada | 1 | 1% |
| Other | 0 | 0% |
| Unknown | 66 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 29 | 38% |
| Student > Ph. D. Student | 15 | 19% |
| Student > Bachelor | 6 | 8% |
| Professor | 5 | 6% |
| Professor > Associate Professor | 5 | 6% |
| Other | 11 | 14% |
| Unknown | 6 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 34 | 44% |
| Computer Science | 14 | 18% |
| Biochemistry, Genetics and Molecular Biology | 8 | 10% |
| Medicine and Dentistry | 6 | 8% |
| Engineering | 3 | 4% |
| Other | 2 | 3% |
| Unknown | 10 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 22 April 2021.
All research outputs
#6,590,632
of 23,314,015 outputs
Outputs from BMC Bioinformatics
#2,525
of 7,384 outputs
Outputs of similar age
#42,817
of 172,642 outputs
Outputs of similar age from BMC Bioinformatics
#18
of 55 outputs
Altmetric has tracked 23,314,015 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 7,384 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 64% 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 172,642 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 72% of its contemporaries.
We're also able to compare this research output to 55 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.