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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Improving miRNA-mRNA interaction predictions
|
|---|---|
| Published in |
BMC Genomics, December 2014
|
| DOI | 10.1186/1471-2164-15-s10-s2 |
| Pubmed ID | |
| Authors |
Daniel Tabas-Madrid, Ander Muniategui, Ignacio Sánchez-Caballero, Dannys Jorge Martínez-Herrera, Carlos Oscar S Sorzano, Angel Rubio, Alberto Pascual-Montano |
| Abstract |
MicroRNAs are short RNA molecules that post-transcriptionally regulate gene expression. Today, microRNA target prediction remains challenging since very few have been experimentally validated and sequence-based predictions have large numbers of false positives. Furthermore, due to the different measuring rules used in each database of predicted interactions, the selection of the most reliable ones requires extensive knowledge about each algorithm. |
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 | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 2% |
| India | 1 | 2% |
| United Kingdom | 1 | 2% |
| United States | 1 | 2% |
| Luxembourg | 1 | 2% |
| Unknown | 54 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 31% |
| Student > Master | 12 | 20% |
| Researcher | 10 | 17% |
| Student > Bachelor | 5 | 8% |
| Lecturer | 3 | 5% |
| Other | 7 | 12% |
| Unknown | 4 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 20 | 34% |
| Biochemistry, Genetics and Molecular Biology | 11 | 19% |
| Computer Science | 7 | 12% |
| Engineering | 6 | 10% |
| Medicine and Dentistry | 4 | 7% |
| Other | 4 | 7% |
| Unknown | 7 | 12% |
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 16 July 2015.
All research outputs
#14,793,491
of 22,776,824 outputs
Outputs from BMC Genomics
#6,132
of 10,643 outputs
Outputs of similar age
#200,182
of 356,570 outputs
Outputs of similar age from BMC Genomics
#130
of 234 outputs
Altmetric has tracked 22,776,824 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,643 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 37th percentile – i.e., 37% 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 356,570 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 234 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.