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Mendeley readers
Attention Score in Context
| Title |
MIR@NT@N: a framework integrating transcription factors, microRNAs and their targets to identify sub-network motifs in a meta-regulation network model
|
|---|---|
| Published in |
BMC Bioinformatics, March 2011
|
| DOI | 10.1186/1471-2105-12-67 |
| Pubmed ID | |
| Authors |
Antony Le Béchec, Elodie Portales-Casamar, Guillaume Vetter, Michèle Moes, Pierre-Joachim Zindy, Anne Saumet, David Arenillas, Charles Theillet, Wyeth W Wasserman, Charles-Henri Lecellier, Evelyne Friederich |
Mendeley readers
The data shown below were compiled from readership statistics for 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 3 | 3% |
| Brazil | 3 | 3% |
| India | 3 | 3% |
| United Kingdom | 3 | 3% |
| Belgium | 2 | 2% |
| Germany | 2 | 2% |
| United States | 2 | 2% |
| Australia | 1 | <1% |
| Mexico | 1 | <1% |
| Other | 4 | 4% |
| Unknown | 82 | 77% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 35 | 33% |
| Student > Ph. D. Student | 30 | 28% |
| Professor > Associate Professor | 10 | 9% |
| Student > Master | 8 | 8% |
| Student > Postgraduate | 5 | 5% |
| Other | 15 | 14% |
| Unknown | 3 | 3% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 66 | 62% |
| Biochemistry, Genetics and Molecular Biology | 10 | 9% |
| Computer Science | 10 | 9% |
| Medicine and Dentistry | 7 | 7% |
| Engineering | 3 | 3% |
| Other | 4 | 4% |
| Unknown | 6 | 6% |
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 26 October 2017.
All research outputs
#7,551,483
of 23,036,991 outputs
Outputs from BMC Bioinformatics
#3,041
of 7,318 outputs
Outputs of similar age
#39,700
of 109,617 outputs
Outputs of similar age from BMC Bioinformatics
#15
of 38 outputs
Altmetric has tracked 23,036,991 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,318 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 50% 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 109,617 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.