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Mendeley readers
Attention Score in Context
Title |
Exploration of biological network centralities with CentiBiN
|
---|---|
Published in |
BMC Bioinformatics, April 2006
|
DOI | 10.1186/1471-2105-7-219 |
Pubmed ID | |
Authors |
Björn H Junker, Dirk Koschützki, Falk Schreiber |
Abstract |
The elucidation of whole-cell regulatory, metabolic, interaction and other biological networks generates the need for a meaningful ranking of network elements. Centrality analysis ranks network elements according to their importance within the network structure and different centrality measures focus on different importance concepts. Central elements of biological networks have been found to be, for example, essential for viability. |
Mendeley readers
The data shown below were compiled from readership statistics for 115 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 3 | 3% |
Germany | 2 | 2% |
Brazil | 2 | 2% |
United States | 2 | 2% |
France | 1 | <1% |
Malaysia | 1 | <1% |
India | 1 | <1% |
Colombia | 1 | <1% |
Japan | 1 | <1% |
Other | 1 | <1% |
Unknown | 100 | 87% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 25 | 22% |
Student > Ph. D. Student | 22 | 19% |
Student > Master | 14 | 12% |
Student > Doctoral Student | 10 | 9% |
Student > Bachelor | 10 | 9% |
Other | 25 | 22% |
Unknown | 9 | 8% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 43 | 37% |
Computer Science | 20 | 17% |
Biochemistry, Genetics and Molecular Biology | 8 | 7% |
Mathematics | 7 | 6% |
Chemistry | 5 | 4% |
Other | 15 | 13% |
Unknown | 17 | 15% |
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 21 January 2015.
All research outputs
#4,586,719
of 22,778,347 outputs
Outputs from BMC Bioinformatics
#1,754
of 7,277 outputs
Outputs of similar age
#11,702
of 66,018 outputs
Outputs of similar age from BMC Bioinformatics
#9
of 52 outputs
Altmetric has tracked 22,778,347 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 7,277 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 75% 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 66,018 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 82% of its contemporaries.
We're also able to compare this research output to 52 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.