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X Demographics
Mendeley readers
Attention Score in Context
| Title |
BglBrick vectors and datasheets: A synthetic biology platform for gene expression
|
|---|---|
| Published in |
Journal of Biological Engineering, September 2011
|
| DOI | 10.1186/1754-1611-5-12 |
| Pubmed ID | |
| Authors |
Taek Soon Lee, Rachel A Krupa, Fuzhong Zhang, Meghdad Hajimorad, William J Holtz, Nilu Prasad, Sung Kuk Lee, Jay D Keasling |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 613 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 15 | 2% |
| United Kingdom | 6 | <1% |
| Denmark | 3 | <1% |
| Germany | 2 | <1% |
| Finland | 2 | <1% |
| New Zealand | 2 | <1% |
| Italy | 1 | <1% |
| India | 1 | <1% |
| Portugal | 1 | <1% |
| Other | 5 | <1% |
| Unknown | 575 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 161 | 26% |
| Researcher | 129 | 21% |
| Student > Master | 77 | 13% |
| Student > Bachelor | 56 | 9% |
| Other | 25 | 4% |
| Other | 73 | 12% |
| Unknown | 92 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 193 | 31% |
| Biochemistry, Genetics and Molecular Biology | 165 | 27% |
| Engineering | 59 | 10% |
| Chemistry | 24 | 4% |
| Chemical Engineering | 16 | 3% |
| Other | 52 | 8% |
| Unknown | 104 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 02 November 2023.
All research outputs
#3,907,044
of 26,017,215 outputs
Outputs from Journal of Biological Engineering
#57
of 313 outputs
Outputs of similar age
#20,087
of 144,077 outputs
Outputs of similar age from Journal of Biological Engineering
#1
of 2 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 313 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has done well, scoring higher than 81% 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 144,077 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 84% of its contemporaries.
We're also able to compare this research output to 2 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