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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Artificial cell-cell communication as an emerging tool in synthetic biology applications
|
|---|---|
| Published in |
Journal of Biological Engineering, August 2015
|
| DOI | 10.1186/s13036-015-0011-2 |
| Pubmed ID | |
| Authors |
Stefan Hennig, Gerhard Rödel, Kai Ostermann |
X Demographics
The data shown below were collected from the profiles of 10 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 | 1 | 10% |
| Sweden | 1 | 10% |
| Unknown | 8 | 80% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 80% |
| Scientists | 2 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 296 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | <1% |
| France | 2 | <1% |
| United States | 2 | <1% |
| United Kingdom | 2 | <1% |
| Spain | 2 | <1% |
| Ecuador | 1 | <1% |
| China | 1 | <1% |
| Unknown | 284 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 81 | 27% |
| Researcher | 43 | 15% |
| Student > Bachelor | 39 | 13% |
| Student > Master | 34 | 11% |
| Student > Doctoral Student | 17 | 6% |
| Other | 34 | 11% |
| Unknown | 48 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 79 | 27% |
| Agricultural and Biological Sciences | 73 | 25% |
| Engineering | 22 | 7% |
| Chemistry | 19 | 6% |
| Computer Science | 7 | 2% |
| Other | 39 | 13% |
| Unknown | 57 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 23. 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 24 April 2024.
All research outputs
#1,654,920
of 25,775,807 outputs
Outputs from Journal of Biological Engineering
#23
of 312 outputs
Outputs of similar age
#20,705
of 277,086 outputs
Outputs of similar age from Journal of Biological Engineering
#1
of 5 outputs
Altmetric has tracked 25,775,807 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 312 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has done particularly well, scoring higher than 92% 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 277,086 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 92% of its contemporaries.
We're also able to compare this research output to 5 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