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X Demographics
Mendeley readers
Attention Score in Context
| Title |
miRTrail - a comprehensive webserver for analyzing gene and miRNA patterns to enhance the understanding of regulatory mechanisms in diseases
|
|---|---|
| Published in |
BMC Bioinformatics, February 2012
|
| DOI | 10.1186/1471-2105-13-36 |
| Pubmed ID | |
| Authors |
Cedric Laczny, Petra Leidinger, Jan Haas, Nicole Ludwig, Christina Backes, Andreas Gerasch, Michael Kaufmann, Britta Vogel, Hugo A Katus, Benjamin Meder, Cord Stähler, Eckart Meese, Hans-Peter Lenhof, Andreas Keller |
| Abstract |
Expression profiling provides new insights into regulatory and metabolic processes and in particular into pathogenic mechanisms associated with diseases. Besides genes, non-coding transcripts as microRNAs (miRNAs) gained increasing relevance in the last decade. To understand the regulatory processes of miRNAs on genes, integrative computer-aided approaches are essential, especially in the light of complex human diseases as cancer. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 25% |
| France | 1 | 25% |
| Australia | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 75% |
| Members of the public | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 1% |
| Spain | 1 | 1% |
| United States | 1 | 1% |
| Netherlands | 1 | 1% |
| Unknown | 95 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 30 | 30% |
| Student > Ph. D. Student | 18 | 18% |
| Student > Master | 13 | 13% |
| Professor | 7 | 7% |
| Professor > Associate Professor | 6 | 6% |
| Other | 19 | 19% |
| Unknown | 6 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 39 | 39% |
| Biochemistry, Genetics and Molecular Biology | 15 | 15% |
| Computer Science | 15 | 15% |
| Medicine and Dentistry | 10 | 10% |
| Engineering | 4 | 4% |
| Other | 8 | 8% |
| Unknown | 8 | 8% |
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 29 February 2012.
All research outputs
#14,238,568
of 24,798,538 outputs
Outputs from BMC Bioinformatics
#3,956
of 7,589 outputs
Outputs of similar age
#90,318
of 160,715 outputs
Outputs of similar age from BMC Bioinformatics
#33
of 64 outputs
Altmetric has tracked 24,798,538 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,589 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 45th percentile – i.e., 45% 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 160,715 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 64 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.