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X Demographics
Mendeley readers
Attention Score in Context
Title |
Construction and Modelling of an Inducible Positive Feedback Loop Stably Integrated in a Mammalian Cell-Line
|
---|---|
Published in |
PLoS Computational Biology, June 2011
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DOI | 10.1371/journal.pcbi.1002074 |
Pubmed ID | |
Authors |
Velia Siciliano, Filippo Menolascina, Lucia Marucci, Chiara Fracassi, Immacolata Garzilli, Maria Nicoletta Moretti, Diego di Bernardo |
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 % |
---|---|---|
Italy | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 50% |
Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | 3% |
United States | 1 | 1% |
France | 1 | 1% |
Germany | 1 | 1% |
Unknown | 71 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 21 | 28% |
Researcher | 21 | 28% |
Student > Master | 7 | 9% |
Student > Bachelor | 4 | 5% |
Professor | 4 | 5% |
Other | 9 | 12% |
Unknown | 10 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 33 | 43% |
Biochemistry, Genetics and Molecular Biology | 12 | 16% |
Engineering | 7 | 9% |
Social Sciences | 3 | 4% |
Computer Science | 2 | 3% |
Other | 7 | 9% |
Unknown | 12 | 16% |
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 22 November 2019.
All research outputs
#17,285,668
of 25,373,627 outputs
Outputs from PLoS Computational Biology
#7,479
of 8,960 outputs
Outputs of similar age
#92,765
of 126,657 outputs
Outputs of similar age from PLoS Computational Biology
#48
of 65 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,960 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one is in the 11th percentile – i.e., 11% 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 126,657 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 65 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.