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Mendeley readers
Attention Score in Context
| Title |
Identifying disease-specific genes based on their topological significance in protein networks
|
|---|---|
| Published in |
BMC Systems Biology, March 2009
|
| DOI | 10.1186/1752-0509-3-36 |
| Pubmed ID | |
| Authors |
Zoltán Dezső, Yuri Nikolsky, Tatiana Nikolskaya, Jeremy Miller, David Cherba, Craig Webb, Andrej Bugrim |
| Abstract |
The identification of key target nodes within complex molecular networks remains a common objective in scientific research. The results of pathway analyses are usually sets of fairly complex networks or functional processes that are deemed relevant to the condition represented by the molecular profile. To be useful in a research or clinical laboratory, the results need to be translated to the level of testable hypotheses about individual genes and proteins within the condition of interest. |
Mendeley readers
The data shown below were compiled from readership statistics for 142 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 4% |
| India | 2 | 1% |
| Spain | 2 | 1% |
| Switzerland | 1 | <1% |
| United Kingdom | 1 | <1% |
| Canada | 1 | <1% |
| Mexico | 1 | <1% |
| Netherlands | 1 | <1% |
| Hungary | 1 | <1% |
| Other | 3 | 2% |
| Unknown | 123 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 49 | 35% |
| Student > Ph. D. Student | 36 | 25% |
| Student > Master | 13 | 9% |
| Professor | 8 | 6% |
| Professor > Associate Professor | 7 | 5% |
| Other | 13 | 9% |
| Unknown | 16 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 57 | 40% |
| Computer Science | 15 | 11% |
| Biochemistry, Genetics and Molecular Biology | 14 | 10% |
| Medicine and Dentistry | 13 | 9% |
| Engineering | 7 | 5% |
| Other | 15 | 11% |
| Unknown | 21 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 29 May 2009.
All research outputs
#15,866,607
of 23,577,654 outputs
Outputs from BMC Systems Biology
#644
of 1,139 outputs
Outputs of similar age
#80,057
of 94,727 outputs
Outputs of similar age from BMC Systems Biology
#11
of 11 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,139 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 32nd percentile – i.e., 32% of its peers scored the same or lower than it.
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 94,727 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.