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X Demographics
Mendeley readers
Attention Score in Context
| Title |
BayMiR: inferring evidence for endogenous miRNA-induced gene repression from mRNA expression profiles
|
|---|---|
| Published in |
BMC Genomics, August 2013
|
| DOI | 10.1186/1471-2164-14-592 |
| Pubmed ID | |
| Authors |
Hossein Radfar, Willy Wong, Quaid Morris |
| Abstract |
Popular miRNA target prediction techniques use sequence features to determine the functional miRNA target sites. These techniques commonly ignore the cellular conditions in which miRNAs interact with their targets in vivo. Gene expression data are rich resources that can complement sequence features to take into account the context dependency of miRNAs. |
X Demographics
The data shown below were collected from the profiles of 6 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 | 2 | 33% |
| United Kingdom | 1 | 17% |
| France | 1 | 17% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 50% |
| Members of the public | 2 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 2 | 6% |
| Germany | 1 | 3% |
| Italy | 1 | 3% |
| Thailand | 1 | 3% |
| Unknown | 31 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 31% |
| Student > Ph. D. Student | 6 | 17% |
| Student > Doctoral Student | 4 | 11% |
| Professor > Associate Professor | 4 | 11% |
| Student > Master | 4 | 11% |
| Other | 6 | 17% |
| Unknown | 1 | 3% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 25 | 69% |
| Biochemistry, Genetics and Molecular Biology | 4 | 11% |
| Computer Science | 4 | 11% |
| Medicine and Dentistry | 2 | 6% |
| Neuroscience | 1 | 3% |
| Other | 0 | 0% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 September 2013.
All research outputs
#12,881,756
of 22,719,618 outputs
Outputs from BMC Genomics
#4,550
of 10,627 outputs
Outputs of similar age
#100,947
of 199,368 outputs
Outputs of similar age from BMC Genomics
#43
of 135 outputs
Altmetric has tracked 22,719,618 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,627 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 55% of its peers.
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 199,368 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 135 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.