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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The Synthetic Biology Open Language (SBOL) provides a community standard for communicating designs in synthetic biology
|
|---|---|
| Published in |
Nature Biotechnology, June 2014
|
| DOI | 10.1038/nbt.2891 |
| Pubmed ID | |
| Authors |
Michal Galdzicki, Kevin P Clancy, Ernst Oberortner, Matthew Pocock, Jacqueline Y Quinn, Cesar A Rodriguez, Nicholas Roehner, Mandy L Wilson, Laura Adam, J Christopher Anderson, Bryan A Bartley, Jacob Beal, Deepak Chandran, Joanna Chen, Douglas Densmore, Drew Endy, Raik Grünberg, Jennifer Hallinan, Nathan J Hillson, Jeffrey D Johnson, Allan Kuchinsky, Matthew Lux, Goksel Misirli, Jean Peccoud, Hector A Plahar, Evren Sirin, Guy-Bart Stan, Alan Villalobos, Anil Wipat, John H Gennari, Chris J Myers, Herbert M Sauro |
| Abstract |
The re-use of previously validated designs is critical to the evolution of synthetic biology from a research discipline to an engineering practice. Here we describe the Synthetic Biology Open Language (SBOL), a proposed data standard for exchanging designs within the synthetic biology community. SBOL represents synthetic biology designs in a community-driven, formalized format for exchange between software tools, research groups and commercial service providers. The SBOL Developers Group has implemented SBOL as an XML/RDF serialization and provides software libraries and specification documentation to help developers implement SBOL in their own software. We describe early successes, including a demonstration of the utility of SBOL for information exchange between several different software tools and repositories from both academic and industrial partners. As a community-driven standard, SBOL will be updated as synthetic biology evolves to provide specific capabilities for different aspects of the synthetic biology workflow. |
X Demographics
The data shown below were collected from the profiles of 66 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 17 | 26% |
| United Kingdom | 11 | 17% |
| Spain | 4 | 6% |
| France | 2 | 3% |
| Australia | 2 | 3% |
| India | 2 | 3% |
| Chile | 1 | 2% |
| Canada | 1 | 2% |
| Colombia | 1 | 2% |
| Other | 3 | 5% |
| Unknown | 22 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 45 | 68% |
| Scientists | 20 | 30% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 407 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 9 | 2% |
| United Kingdom | 6 | 1% |
| Belgium | 2 | <1% |
| Russia | 2 | <1% |
| Spain | 2 | <1% |
| Australia | 1 | <1% |
| Germany | 1 | <1% |
| Canada | 1 | <1% |
| New Zealand | 1 | <1% |
| Other | 5 | 1% |
| Unknown | 377 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 109 | 27% |
| Researcher | 76 | 19% |
| Student > Bachelor | 44 | 11% |
| Student > Master | 38 | 9% |
| Professor | 23 | 6% |
| Other | 59 | 14% |
| Unknown | 58 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 135 | 33% |
| Biochemistry, Genetics and Molecular Biology | 103 | 25% |
| Engineering | 33 | 8% |
| Computer Science | 24 | 6% |
| Chemical Engineering | 7 | 2% |
| Other | 37 | 9% |
| Unknown | 68 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 81. 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 10 August 2023.
All research outputs
#534,330
of 25,701,027 outputs
Outputs from Nature Biotechnology
#1,158
of 8,599 outputs
Outputs of similar age
#4,658
of 243,560 outputs
Outputs of similar age from Nature Biotechnology
#7
of 97 outputs
Altmetric has tracked 25,701,027 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,599 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 44.5. This one has done well, scoring higher than 86% 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 243,560 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 98% of its contemporaries.
We're also able to compare this research output to 97 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.