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X Demographics
Mendeley readers
Attention Score in Context
| Title |
In Silico discovery of transcription factors as potential diagnostic biomarkers of ovarian cancer
|
|---|---|
| Published in |
BMC Systems Biology, September 2011
|
| DOI | 10.1186/1752-0509-5-144 |
| Pubmed ID | |
| Authors |
Mandeep Kaur, Cameron R MacPherson, Sebastian Schmeier, Kothandaraman Narasimhan, Mahesh Choolani, Vladimir B Bajic |
| Abstract |
Our study focuses on identifying potential biomarkers for diagnosis and early detection of ovarian cancer (OC) through the study of transcription regulation of genes affected by estrogen hormone. |
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 % |
|---|---|---|
| Unknown | 2 | 100% |
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 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 2% |
| Korea, Republic of | 1 | 2% |
| Canada | 1 | 2% |
| Unknown | 50 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 21% |
| Researcher | 10 | 19% |
| Professor > Associate Professor | 6 | 11% |
| Student > Bachelor | 5 | 9% |
| Student > Postgraduate | 4 | 8% |
| Other | 7 | 13% |
| Unknown | 10 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 12 | 23% |
| Biochemistry, Genetics and Molecular Biology | 9 | 17% |
| Medicine and Dentistry | 6 | 11% |
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 8% |
| Neuroscience | 3 | 6% |
| Other | 10 | 19% |
| Unknown | 9 | 17% |
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 19 September 2011.
All research outputs
#15,234,609
of 22,651,245 outputs
Outputs from BMC Systems Biology
#644
of 1,142 outputs
Outputs of similar age
#90,756
of 130,474 outputs
Outputs of similar age from BMC Systems Biology
#26
of 49 outputs
Altmetric has tracked 22,651,245 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 1,142 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 130,474 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 49 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.