You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Attention Score in Context
| Title |
VANTED: A system for advanced data analysis and visualization in the context of biological networks
|
|---|---|
| Published in |
BMC Bioinformatics, March 2006
|
| DOI | 10.1186/1471-2105-7-109 |
| Pubmed ID | |
| Authors |
Björn H Junker, Christian Klukas, Falk Schreiber |
| Abstract |
Recent advances with high-throughput methods in life-science research have increased the need for automatized data analysis and visual exploration techniques. Sophisticated bioinformatics tools are essential to deduct biologically meaningful interpretations from the large amount of experimental data, and help to understand biological processes. |
Mendeley readers
The data shown below were compiled from readership statistics for 356 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 12 | 3% |
| Germany | 9 | 3% |
| Japan | 4 | 1% |
| United Kingdom | 4 | 1% |
| Colombia | 2 | <1% |
| Australia | 2 | <1% |
| Brazil | 2 | <1% |
| Belgium | 2 | <1% |
| South Africa | 1 | <1% |
| Other | 11 | 3% |
| Unknown | 307 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 88 | 25% |
| Student > Ph. D. Student | 85 | 24% |
| Student > Master | 50 | 14% |
| Professor > Associate Professor | 22 | 6% |
| Student > Bachelor | 20 | 6% |
| Other | 57 | 16% |
| Unknown | 34 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 163 | 46% |
| Computer Science | 46 | 13% |
| Biochemistry, Genetics and Molecular Biology | 42 | 12% |
| Engineering | 19 | 5% |
| Chemistry | 12 | 3% |
| Other | 27 | 8% |
| Unknown | 47 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 26 October 2014.
All research outputs
#3,778,720
of 22,768,097 outputs
Outputs from BMC Bioinformatics
#1,455
of 7,273 outputs
Outputs of similar age
#10,537
of 71,493 outputs
Outputs of similar age from BMC Bioinformatics
#12
of 57 outputs
Altmetric has tracked 22,768,097 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd 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 done well, scoring higher than 79% 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 71,493 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 84% of its contemporaries.
We're also able to compare this research output to 57 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.