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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A synthetic three-color scaffold for monitoring genetic regulation and noise
|
|---|---|
| Published in |
Journal of Biological Engineering, July 2010
|
| DOI | 10.1186/1754-1611-4-10 |
| Pubmed ID | |
| Authors |
Robert Sidney Cox, Mary J Dunlop, Michael B Elowitz |
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 % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 207 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 8 | 4% |
| Germany | 2 | <1% |
| Canada | 2 | <1% |
| Spain | 2 | <1% |
| United Kingdom | 1 | <1% |
| Mexico | 1 | <1% |
| Ireland | 1 | <1% |
| Estonia | 1 | <1% |
| Japan | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 187 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 63 | 30% |
| Researcher | 49 | 24% |
| Student > Master | 31 | 15% |
| Student > Bachelor | 20 | 10% |
| Student > Doctoral Student | 11 | 5% |
| Other | 26 | 13% |
| Unknown | 7 | 3% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 102 | 49% |
| Biochemistry, Genetics and Molecular Biology | 42 | 20% |
| Engineering | 22 | 11% |
| Physics and Astronomy | 9 | 4% |
| Chemistry | 4 | 2% |
| Other | 17 | 8% |
| Unknown | 11 | 5% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 01 March 2021.
All research outputs
#3,279,497
of 25,605,018 outputs
Outputs from Journal of Biological Engineering
#50
of 310 outputs
Outputs of similar age
#12,710
of 105,142 outputs
Outputs of similar age from Journal of Biological Engineering
#1
of 3 outputs
Altmetric has tracked 25,605,018 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 310 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.5. This one has done well, scoring higher than 84% 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 105,142 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 87% 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