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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A simple knowledge-based mining method for exploring hidden key molecules in a human biomolecular network
|
|---|---|
| Published in |
BMC Systems Biology, September 2012
|
| DOI | 10.1186/1752-0509-6-124 |
| Pubmed ID | |
| Authors |
Shingo Tsuji, Sigeo Ihara, Hiroyuki Aburatani |
| Abstract |
In the functional genomics analysis domain, various methodologies are available for interpreting the results produced by high-throughput biological experiments. These methods commonly use a list of genes as an analysis input, and most of them produce a more complicated list of genes or pathways as the results of the analysis. Although there are several network-based methods, which detect key nodes in the network, the results tend to include well-studied, major hub genes. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 33% |
| United Kingdom | 1 | 33% |
| Canada | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 33% |
| Scientists | 1 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 5% |
| United States | 1 | 5% |
| Germany | 1 | 5% |
| Brazil | 1 | 5% |
| Unknown | 17 | 81% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 43% |
| Student > Ph. D. Student | 5 | 24% |
| Student > Master | 3 | 14% |
| Professor | 2 | 10% |
| Other | 2 | 10% |
| Other | 0 | 0% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 11 | 52% |
| Biochemistry, Genetics and Molecular Biology | 3 | 14% |
| Computer Science | 3 | 14% |
| Medicine and Dentistry | 2 | 10% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 1 | 5% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 10 December 2012.
All research outputs
#13,368,181
of 22,679,690 outputs
Outputs from BMC Systems Biology
#476
of 1,142 outputs
Outputs of similar age
#91,992
of 168,703 outputs
Outputs of similar age from BMC Systems Biology
#8
of 19 outputs
Altmetric has tracked 22,679,690 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,142 research outputs from this source. They receive a mean Attention Score of 3.6. This one has gotten more attention than average, scoring higher than 55% 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 168,703 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.