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Mendeley readers
Attention Score in Context
| Title |
Network analysis of microRNAs and their regulation in human ovarian cancer
|
|---|---|
| Published in |
BMC Systems Biology, November 2011
|
| DOI | 10.1186/1752-0509-5-183 |
| Pubmed ID | |
| Authors |
Sebastian Schmeier, Ulf Schaefer, Magbubah Essack, Vladimir B Bajic |
| Abstract |
MicroRNAs (miRNAs) are small non-coding RNA molecules that repress the translation of messenger RNAs (mRNAs) or degrade mRNAs. These functions of miRNAs allow them to control key cellular processes such as development, differentiation and apoptosis, and they have also been implicated in several cancers such as leukaemia, lung, pancreatic and ovarian cancer (OC). Unfortunately, the specific machinery of miRNA regulation, involving transcription factors (TFs) and transcription co-factors (TcoFs), is not well understood. In the present study we focus on computationally deciphering the underlying network of miRNAs, their targets, and their control mechanisms that have an influence on OC development. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 7% |
| Germany | 3 | 4% |
| United Kingdom | 2 | 3% |
| India | 1 | 1% |
| Canada | 1 | 1% |
| Hungary | 1 | 1% |
| Japan | 1 | 1% |
| Mexico | 1 | 1% |
| Unknown | 54 | 78% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 19 | 28% |
| Student > Ph. D. Student | 15 | 22% |
| Student > Master | 9 | 13% |
| Professor > Associate Professor | 7 | 10% |
| Student > Bachelor | 5 | 7% |
| Other | 11 | 16% |
| Unknown | 3 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 38 | 55% |
| Medicine and Dentistry | 9 | 13% |
| Biochemistry, Genetics and Molecular Biology | 6 | 9% |
| Computer Science | 4 | 6% |
| Engineering | 2 | 3% |
| Other | 5 | 7% |
| 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 03 November 2011.
All research outputs
#15,238,442
of 22,656,971 outputs
Outputs from BMC Systems Biology
#644
of 1,142 outputs
Outputs of similar age
#96,471
of 141,801 outputs
Outputs of similar age from BMC Systems Biology
#22
of 45 outputs
Altmetric has tracked 22,656,971 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 141,801 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.