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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Recent advances in machine learning applications in metabolic engineering
|
|---|---|
| Published in |
Biotechnology Advances, November 2022
|
| DOI | 10.1016/j.biotechadv.2022.108069 |
| Pubmed ID | |
| Authors |
Pradipta Patra, Disha B R, Pritam Kundu, Manali Das, Amit Ghosh |
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 % |
|---|---|---|
| France | 2 | 13% |
| Germany | 2 | 13% |
| United States | 2 | 13% |
| South Africa | 1 | 6% |
| Taiwan | 1 | 6% |
| Egypt | 1 | 6% |
| Unknown | 7 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 63% |
| Scientists | 6 | 38% |
Mendeley readers
The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 65 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 11 | 17% |
| Student > Ph. D. Student | 11 | 17% |
| Researcher | 6 | 9% |
| Student > Master | 3 | 5% |
| Student > Doctoral Student | 2 | 3% |
| Other | 7 | 11% |
| Unknown | 25 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 11 | 17% |
| Biochemistry, Genetics and Molecular Biology | 6 | 9% |
| Agricultural and Biological Sciences | 6 | 9% |
| Engineering | 6 | 9% |
| Chemical Engineering | 3 | 5% |
| Other | 5 | 8% |
| Unknown | 28 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 03 December 2022.
All research outputs
#4,898,200
of 25,722,279 outputs
Outputs from Biotechnology Advances
#429
of 1,603 outputs
Outputs of similar age
#101,082
of 491,433 outputs
Outputs of similar age from Biotechnology Advances
#8
of 18 outputs
Altmetric has tracked 25,722,279 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,603 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.2. This one has gotten more attention than average, scoring higher than 73% 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 491,433 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 79% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.