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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Synthetic Biology Meets Machine Learning
|
|---|---|
| Chapter number | 2 |
| Book title |
Computational Biology and Machine Learning for Metabolic Engineering and Synthetic Biology
|
| Published in |
Methods in molecular biology, January 2023
|
| DOI | 10.1007/978-1-0716-2617-7_2 |
| Pubmed ID | |
| Book ISBNs |
978-1-07-162616-0, 978-1-07-162617-7
|
| Authors |
Sieow, Brendan Fu-Long, De Sotto, Ryan, Seet, Zhi Ren Darren, Hwang, In Young, Chang, Matthew Wook |
X Demographics
The data shown below were collected from the profiles of 16 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 3 | 19% |
| Singapore | 2 | 13% |
| France | 1 | 6% |
| India | 1 | 6% |
| Colombia | 1 | 6% |
| United Kingdom | 1 | 6% |
| Unknown | 7 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 75% |
| Scientists | 4 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 14% |
| Researcher | 3 | 14% |
| Professor > Associate Professor | 2 | 9% |
| Unspecified | 1 | 5% |
| Unknown | 13 | 59% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 3 | 14% |
| Chemical Engineering | 1 | 5% |
| Unspecified | 1 | 5% |
| Agricultural and Biological Sciences | 1 | 5% |
| Computer Science | 1 | 5% |
| Other | 2 | 9% |
| Unknown | 13 | 59% |
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 26 July 2023.
All research outputs
#4,073,264
of 25,058,660 outputs
Outputs from Methods in molecular biology
#978
of 14,097 outputs
Outputs of similar age
#78,366
of 472,328 outputs
Outputs of similar age from Methods in molecular biology
#29
of 720 outputs
Altmetric has tracked 25,058,660 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 14,097 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done particularly well, scoring higher than 93% 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 472,328 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 83% of its contemporaries.
We're also able to compare this research output to 720 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 96% of its contemporaries.