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Mendeley readers
Attention Score in Context
Title |
Web-based analysis of the mouse transcriptome using Genevestigator
|
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Published in |
BMC Bioinformatics, June 2006
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DOI | 10.1186/1471-2105-7-311 |
Pubmed ID | |
Authors |
Oliver Laule, Matthias Hirsch-Hoffmann, Tomas Hruz, Wilhelm Gruissem, Philip Zimmermann |
Abstract |
Gene function analysis often requires a complex and laborious sequence of laboratory and computer-based experiments. Choosing an effective experimental design generally results from hypotheses derived from prior knowledge or experimentation. Knowledge obtained from meta-analyzing compendia of expression data with annotation libraries can provide significant clues in understanding gene and network function, resulting in better hypotheses that can be tested in the laboratory. |
Mendeley readers
The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Norway | 1 | 2% |
Belgium | 1 | 2% |
Russia | 1 | 2% |
Spain | 1 | 2% |
United States | 1 | 2% |
Poland | 1 | 2% |
Unknown | 50 | 89% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 19 | 34% |
Student > Ph. D. Student | 17 | 30% |
Student > Master | 4 | 7% |
Professor | 3 | 5% |
Lecturer | 3 | 5% |
Other | 9 | 16% |
Unknown | 1 | 2% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 36 | 64% |
Biochemistry, Genetics and Molecular Biology | 7 | 13% |
Computer Science | 3 | 5% |
Medicine and Dentistry | 2 | 4% |
Business, Management and Accounting | 1 | 2% |
Other | 6 | 11% |
Unknown | 1 | 2% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 07 October 2013.
All research outputs
#4,691,744
of 22,769,322 outputs
Outputs from BMC Bioinformatics
#1,808
of 7,273 outputs
Outputs of similar age
#11,769
of 63,977 outputs
Outputs of similar age from BMC Bioinformatics
#5
of 38 outputs
Altmetric has tracked 22,769,322 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,273 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 73% 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 63,977 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 38 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.