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Mendeley readers
Attention Score in Context
| Title |
An integrative analysis of cellular contexts, miRNAs and mRNAs reveals network clusters associated with antiestrogen-resistant breast cancer cells
|
|---|---|
| Published in |
BMC Genomics, December 2012
|
| DOI | 10.1186/1471-2164-13-732 |
| Pubmed ID | |
| Authors |
Seungyoon Nam, Xinghua Long, ChangHyuk Kwon, Sun Kim, Kenneth P Nephew |
| Abstract |
A major goal of the field of systems biology is to translate genome-wide profiling data (e.g., mRNAs, miRNAs) into interpretable functional networks. However, employing a systems biology approach to better understand the complexities underlying drug resistance phenotypes in cancer continues to represent a significant challenge to the field. Previously, we derived two drug-resistant breast cancer sublines (tamoxifen- and fulvestrant-resistant cell lines) from the MCF7 breast cancer cell line and performed genome-wide mRNA and microRNA profiling to identify differential molecular pathways underlying acquired resistance to these important antiestrogens. In the current study, to further define molecular characteristics of acquired antiestrogen resistance we constructed an "integrative network". We combined joint miRNA-mRNA expression profiles, cancer contexts, miRNA-target mRNA relationships, and miRNA upstream regulators. In particular, to reduce the probability of false positive connections in the network, experimentally validated, rather than prediction-oriented, databases were utilized to obtain connectivity. Also, to improve biological interpretation, cancer contexts were incorporated into the network connectivity. |
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 % |
|---|---|---|
| France | 1 | 50% |
| Germany | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 5% |
| Denmark | 1 | 2% |
| China | 1 | 2% |
| Brazil | 1 | 2% |
| Unknown | 38 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 30% |
| Researcher | 10 | 23% |
| Student > Master | 6 | 14% |
| Student > Bachelor | 3 | 7% |
| Professor > Associate Professor | 2 | 5% |
| Other | 4 | 9% |
| Unknown | 5 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 19 | 44% |
| Medicine and Dentistry | 10 | 23% |
| Biochemistry, Genetics and Molecular Biology | 6 | 14% |
| Computer Science | 3 | 7% |
| Economics, Econometrics and Finance | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 4 | 9% |
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 28 December 2012.
All research outputs
#19,945,185
of 25,374,917 outputs
Outputs from BMC Genomics
#8,135
of 11,244 outputs
Outputs of similar age
#221,330
of 288,792 outputs
Outputs of similar age from BMC Genomics
#137
of 201 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 22nd percentile – i.e., 22% of its peers scored the same or lower than it.
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We're also able to compare this research output to 201 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.