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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Engineered cell-cell communication via DNA messaging
|
|---|---|
| Published in |
Journal of Biological Engineering, December 2012
|
| DOI | 10.1186/1754-1611-6-16 |
| Pubmed ID | |
| Authors |
Monica E Ortiz, Drew Endy |
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 % |
|---|---|---|
| United States | 4 | 29% |
| Germany | 1 | 7% |
| Costa Rica | 1 | 7% |
| Brazil | 1 | 7% |
| United Kingdom | 1 | 7% |
| Spain | 1 | 7% |
| Unknown | 5 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 71% |
| Scientists | 4 | 29% |
Mendeley readers
The data shown below were compiled from readership statistics for 228 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 8 | 4% |
| Spain | 3 | 1% |
| Finland | 2 | <1% |
| United Kingdom | 2 | <1% |
| Canada | 2 | <1% |
| Austria | 1 | <1% |
| Iran, Islamic Republic of | 1 | <1% |
| Brazil | 1 | <1% |
| Belgium | 1 | <1% |
| Other | 3 | 1% |
| Unknown | 204 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 66 | 29% |
| Researcher | 39 | 17% |
| Student > Bachelor | 33 | 14% |
| Student > Master | 26 | 11% |
| Student > Postgraduate | 11 | 5% |
| Other | 31 | 14% |
| Unknown | 22 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 87 | 38% |
| Biochemistry, Genetics and Molecular Biology | 40 | 18% |
| Engineering | 24 | 11% |
| Computer Science | 13 | 6% |
| Chemistry | 9 | 4% |
| Other | 27 | 12% |
| Unknown | 28 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 45. 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 06 April 2021.
All research outputs
#837,208
of 23,956,119 outputs
Outputs from Journal of Biological Engineering
#7
of 284 outputs
Outputs of similar age
#6,449
of 282,947 outputs
Outputs of similar age from Journal of Biological Engineering
#1
of 24 outputs
Altmetric has tracked 23,956,119 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 284 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.5. 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 282,947 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 97% of its contemporaries.
We're also able to compare this research output to 24 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 99% of its contemporaries.