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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A library of mammalian effector modules for synthetic morphology
|
|---|---|
| Published in |
Journal of Biological Engineering, November 2014
|
| DOI | 10.1186/1754-1611-8-26 |
| Pubmed ID | |
| Authors |
Elise Cachat, Weijia Liu, Peter Hohenstein, Jamie A Davies |
| Abstract |
In mammalian development, the formation of most tissues is achieved by a relatively small repertoire of basic morphogenetic events (e.g. cell adhesion, locomotion, apoptosis, etc.), permutated in various sequences to form different tissues. Together with cell differentiation, these mechanisms allow populations of cells to organize themselves into defined geometries and structures, as simple embryos develop into complex organisms. The control of tissue morphogenesis by populations of engineered cells is a potentially very powerful but neglected aspect of synthetic biology. |
X Demographics
The data shown below were collected from the profiles of 5 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 Kingdom | 1 | 20% |
| Unknown | 4 | 80% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| Argentina | 1 | 2% |
| Unknown | 57 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 22 | 37% |
| Researcher | 12 | 20% |
| Student > Bachelor | 8 | 14% |
| Student > Postgraduate | 4 | 7% |
| Professor | 4 | 7% |
| Other | 5 | 8% |
| Unknown | 4 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 20 | 34% |
| Biochemistry, Genetics and Molecular Biology | 17 | 29% |
| Engineering | 4 | 7% |
| Medicine and Dentistry | 3 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 3% |
| Other | 8 | 14% |
| Unknown | 5 | 8% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 30 September 2021.
All research outputs
#7,807,532
of 25,448,590 outputs
Outputs from Journal of Biological Engineering
#123
of 309 outputs
Outputs of similar age
#99,943
of 370,238 outputs
Outputs of similar age from Journal of Biological Engineering
#3
of 3 outputs
Altmetric has tracked 25,448,590 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 309 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.5. This one has gotten more attention than average, scoring higher than 60% 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 370,238 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% 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.