Title |
Expanding the landscape of biological computation with synthetic multicellular consortia
|
---|---|
Published in |
Natural Computing, June 2013
|
DOI | 10.1007/s11047-013-9380-y |
Authors |
Ricard V. Solé, Javier Macia |
X Demographics
The data shown below were collected from the profiles of 31 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 4 | 13% |
United States | 4 | 13% |
United Kingdom | 2 | 6% |
Australia | 1 | 3% |
Finland | 1 | 3% |
Venezuela, Bolivarian Republic of | 1 | 3% |
Cabo Verde | 1 | 3% |
Chile | 1 | 3% |
Portugal | 1 | 3% |
Other | 0 | 0% |
Unknown | 15 | 48% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 18 | 58% |
Scientists | 12 | 39% |
Practitioners (doctors, other healthcare professionals) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 2% |
Spain | 1 | 2% |
Vietnam | 1 | 2% |
Unknown | 52 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 19 | 35% |
Researcher | 8 | 15% |
Student > Bachelor | 5 | 9% |
Professor | 5 | 9% |
Student > Doctoral Student | 4 | 7% |
Other | 8 | 15% |
Unknown | 6 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 14 | 25% |
Biochemistry, Genetics and Molecular Biology | 11 | 20% |
Computer Science | 8 | 15% |
Engineering | 6 | 11% |
Physics and Astronomy | 4 | 7% |
Other | 4 | 7% |
Unknown | 8 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 17 May 2019.
All research outputs
#2,168,344
of 24,619,747 outputs
Outputs from Natural Computing
#5
of 149 outputs
Outputs of similar age
#18,149
of 201,405 outputs
Outputs of similar age from Natural Computing
#1
of 3 outputs
Altmetric has tracked 24,619,747 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 149 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done particularly well, scoring higher than 97% 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 201,405 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them