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X Demographics
Mendeley readers
Attention Score in Context
| Title |
miRConnect 2.0: identification of oncogenic, antagonistic miRNA families in three human cancers
|
|---|---|
| Published in |
BMC Genomics, March 2013
|
| DOI | 10.1186/1471-2164-14-179 |
| Pubmed ID | |
| Authors |
Youjia Hua, Niels Larsen, Shanker Kalyana-Sundaram, Jørgen Kjems, Arul M Chinnaiyan, Marcus E Peter |
| Abstract |
Based on their function in cancer micro(mi)RNAs are often grouped as either tumor suppressors or oncogenes. However, miRNAs regulate multiple tumor relevant signaling pathways raising the question whether two oncogenic miRNAs could be functional antagonists by promoting different steps in tumor progression. We recently developed a method to connect miRNAs to biological function by comparing miRNA and gene array expression data from the NCI60 cell lines without using miRNA target predictions (miRConnect). |
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% |
| 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 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 2% |
| Switzerland | 1 | 2% |
| United Kingdom | 1 | 2% |
| Japan | 1 | 2% |
| United States | 1 | 2% |
| Unknown | 53 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 24% |
| Student > Ph. D. Student | 13 | 22% |
| Student > Master | 6 | 10% |
| Student > Bachelor | 3 | 5% |
| Student > Postgraduate | 3 | 5% |
| Other | 12 | 21% |
| Unknown | 7 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 14 | 24% |
| Medicine and Dentistry | 12 | 21% |
| Biochemistry, Genetics and Molecular Biology | 8 | 14% |
| Computer Science | 5 | 9% |
| Engineering | 5 | 9% |
| Other | 6 | 10% |
| Unknown | 8 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 March 2013.
All research outputs
#14,548,730
of 23,299,593 outputs
Outputs from BMC Genomics
#5,743
of 10,741 outputs
Outputs of similar age
#113,811
of 197,527 outputs
Outputs of similar age from BMC Genomics
#65
of 133 outputs
Altmetric has tracked 23,299,593 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,741 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 42nd percentile – i.e., 42% 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 197,527 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 133 others from the same source and published within six weeks on either side of this one. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.