| Title |
Computing with biological switches and clocks
|
|---|---|
| Published in |
Natural Computing, June 2018
|
| DOI | 10.1007/s11047-018-9686-x |
| Pubmed ID | |
| Authors |
Neil Dalchau, Gregory Szép, Rosa Hernansaiz-Ballesteros, Chris P. Barnes, Luca Cardelli, Andrew Phillips, Attila Csikász-Nagy |
X Demographics
The data shown below were collected from the profiles of 14 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Hungary | 2 | 14% |
| United Kingdom | 2 | 14% |
| Spain | 1 | 7% |
| Unknown | 9 | 64% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 7 | 50% |
| Members of the public | 7 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 142 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 142 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 30 | 21% |
| Researcher | 18 | 13% |
| Student > Bachelor | 18 | 13% |
| Student > Master | 14 | 10% |
| Student > Doctoral Student | 10 | 7% |
| Other | 24 | 17% |
| Unknown | 28 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 33 | 23% |
| Agricultural and Biological Sciences | 17 | 12% |
| Computer Science | 14 | 10% |
| Engineering | 11 | 8% |
| Chemistry | 10 | 7% |
| Other | 22 | 15% |
| Unknown | 35 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 04 February 2021.
All research outputs
#2,009,330
of 23,849,241 outputs
Outputs from Natural Computing
#5
of 147 outputs
Outputs of similar age
#43,516
of 333,577 outputs
Outputs of similar age from Natural Computing
#2
of 4 outputs
Altmetric has tracked 23,849,241 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 147 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 333,577 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.