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X Demographics
Mendeley readers
Attention Score in Context
| Title |
An integrative approach to inferring biologically meaningful gene modules
|
|---|---|
| Published in |
BMC Systems Biology, July 2011
|
| DOI | 10.1186/1752-0509-5-117 |
| Pubmed ID | |
| Authors |
Ji-Hoon Cho, Kai Wang, David J Galas |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sweden | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 4% |
| Germany | 2 | 3% |
| Italy | 2 | 3% |
| United Kingdom | 2 | 3% |
| Colombia | 1 | 1% |
| Sweden | 1 | 1% |
| Unknown | 63 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 26 | 35% |
| Student > Ph. D. Student | 20 | 27% |
| Student > Master | 10 | 14% |
| Professor | 3 | 4% |
| Student > Doctoral Student | 3 | 4% |
| Other | 8 | 11% |
| Unknown | 4 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 41 | 55% |
| Biochemistry, Genetics and Molecular Biology | 10 | 14% |
| Computer Science | 9 | 12% |
| Mathematics | 3 | 4% |
| Social Sciences | 2 | 3% |
| Other | 4 | 5% |
| Unknown | 5 | 7% |
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 26 July 2011.
All research outputs
#15,674,939
of 23,292,144 outputs
Outputs from BMC Systems Biology
#647
of 1,144 outputs
Outputs of similar age
#86,041
of 120,795 outputs
Outputs of similar age from BMC Systems Biology
#16
of 39 outputs
Altmetric has tracked 23,292,144 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 1,144 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 120,795 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.