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Mendeley readers
Attention Score in Context
Title |
CircuitsDB: a database of mixed microRNA/transcription factor feed-forward regulatory circuits in human and mouse
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Published in |
BMC Bioinformatics, August 2010
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DOI | 10.1186/1471-2105-11-435 |
Pubmed ID | |
Authors |
Olivier Friard, Angela Re, Daniela Taverna, Michele De Bortoli, Davide Corá |
Abstract |
Transcription Factors (TFs) and microRNAs (miRNAs) are key players for gene expression regulation in higher eukaryotes. In the last years, a large amount of bioinformatic studies were devoted to the elucidation of transcriptional and post-transcriptional (mostly miRNA-mediated) regulatory interactions, but little is known about the interplay between them. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 135 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 4 | 3% |
Germany | 3 | 2% |
Italy | 3 | 2% |
Brazil | 1 | <1% |
Sweden | 1 | <1% |
Switzerland | 1 | <1% |
Korea, Republic of | 1 | <1% |
India | 1 | <1% |
Spain | 1 | <1% |
Other | 1 | <1% |
Unknown | 118 | 87% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 41 | 30% |
Student > Ph. D. Student | 39 | 29% |
Student > Master | 11 | 8% |
Professor > Associate Professor | 8 | 6% |
Other | 6 | 4% |
Other | 18 | 13% |
Unknown | 12 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 63 | 47% |
Biochemistry, Genetics and Molecular Biology | 27 | 20% |
Computer Science | 15 | 11% |
Medicine and Dentistry | 4 | 3% |
Immunology and Microbiology | 2 | 1% |
Other | 12 | 9% |
Unknown | 12 | 9% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 31 December 2012.
All research outputs
#18,325,190
of 22,691,736 outputs
Outputs from BMC Bioinformatics
#6,287
of 7,255 outputs
Outputs of similar age
#85,094
of 94,781 outputs
Outputs of similar age from BMC Bioinformatics
#44
of 50 outputs
Altmetric has tracked 22,691,736 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,255 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 5th percentile – i.e., 5% 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 94,781 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 50 others from the same source and published within six weeks on either side of this one. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.