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Mendeley readers
Attention Score in Context
| Title |
BiologicalNetworks 2.0 - an integrative view of genome biology data
|
|---|---|
| Published in |
BMC Bioinformatics, December 2010
|
| DOI | 10.1186/1471-2105-11-610 |
| Pubmed ID | |
| Authors |
Sergey Kozhenkov, Yulia Dubinina, Mayya Sedova, Amarnath Gupta, Julia Ponomarenko, Michael Baitaluk |
| Abstract |
A significant problem in the study of mechanisms of an organism's development is the elucidation of interrelated factors which are making an impact on the different levels of the organism, such as genes, biological molecules, cells, and cell systems. Numerous sources of heterogeneous data which exist for these subsystems are still not integrated sufficiently enough to give researchers a straightforward opportunity to analyze them together in the same frame of study. Systematic application of data integration methods is also hampered by a multitude of such factors as the orthogonal nature of the integrated data and naming problems. |
Mendeley readers
The data shown below were compiled from readership statistics for 113 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 12 | 11% |
| France | 4 | 4% |
| Germany | 2 | 2% |
| United Kingdom | 2 | 2% |
| Spain | 2 | 2% |
| Mexico | 2 | 2% |
| Sweden | 2 | 2% |
| Brazil | 1 | <1% |
| South Africa | 1 | <1% |
| Other | 5 | 4% |
| Unknown | 80 | 71% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 42 | 37% |
| Student > Ph. D. Student | 28 | 25% |
| Student > Master | 11 | 10% |
| Other | 8 | 7% |
| Professor > Associate Professor | 7 | 6% |
| Other | 15 | 13% |
| Unknown | 2 | 2% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 67 | 59% |
| Computer Science | 14 | 12% |
| Medicine and Dentistry | 8 | 7% |
| Biochemistry, Genetics and Molecular Biology | 5 | 4% |
| Engineering | 3 | 3% |
| Other | 10 | 9% |
| Unknown | 6 | 5% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 02 October 2011.
All research outputs
#7,454,951
of 22,790,780 outputs
Outputs from BMC Bioinformatics
#3,023
of 7,280 outputs
Outputs of similar age
#54,398
of 181,117 outputs
Outputs of similar age from BMC Bioinformatics
#19
of 50 outputs
Altmetric has tracked 22,790,780 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,280 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 50% 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 181,117 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 50 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.