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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Identification of ovarian cancer associated genes using an integrated approach in a Boolean framework
|
|---|---|
| Published in |
BMC Systems Biology, February 2013
|
| DOI | 10.1186/1752-0509-7-12 |
| Pubmed ID | |
| Authors |
Gaurav Kumar, Edmond J Breen, Shoba Ranganathan |
| Abstract |
Cancer is a complex disease where molecular mechanism remains elusive. A systems approach is needed to integrate diverse biological information for the prognosis and therapy risk assessment using mechanistic approach to understand gene interactions in pathways and networks and functional attributes to unravel the biological behaviour of tumors. |
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 % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 4% |
| Germany | 1 | 2% |
| Unknown | 51 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 18 | 33% |
| Student > Bachelor | 6 | 11% |
| Student > Ph. D. Student | 5 | 9% |
| Student > Master | 4 | 7% |
| Professor > Associate Professor | 3 | 6% |
| Other | 7 | 13% |
| Unknown | 11 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 16 | 30% |
| Biochemistry, Genetics and Molecular Biology | 12 | 22% |
| Computer Science | 4 | 7% |
| Engineering | 2 | 4% |
| Chemistry | 2 | 4% |
| Other | 4 | 7% |
| Unknown | 14 | 26% |
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 06 February 2013.
All research outputs
#18,616,159
of 23,881,329 outputs
Outputs from BMC Systems Biology
#771
of 1,126 outputs
Outputs of similar age
#217,208
of 288,505 outputs
Outputs of similar age from BMC Systems Biology
#32
of 44 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,126 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 27th percentile – i.e., 27% 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 288,505 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.