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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Integration of enzymatic data in Bacillus subtilis genome-scale metabolic model improves phenotype predictions and enables in silico design of poly-γ-glutamic acid production strains
|
|---|---|
| Published in |
Microbial Cell Factories, January 2019
|
| DOI | 10.1186/s12934-018-1052-2 |
| Pubmed ID | |
| Authors |
Ilaria Massaiu, Lorenzo Pasotti, Nikolaus Sonnenschein, Erlinda Rama, Matteo Cavaletti, Paolo Magni, Cinzia Calvio, Markus J. Herrgård |
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 % |
|---|---|---|
| Italy | 3 | 30% |
| Denmark | 2 | 20% |
| Netherlands | 1 | 10% |
| Unknown | 4 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 70% |
| Scientists | 3 | 30% |
Mendeley readers
The data shown below were compiled from readership statistics for 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 103 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 22 | 21% |
| Researcher | 16 | 16% |
| Student > Master | 16 | 16% |
| Student > Bachelor | 10 | 10% |
| Professor | 2 | 2% |
| Other | 10 | 10% |
| Unknown | 27 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 25 | 24% |
| Agricultural and Biological Sciences | 17 | 17% |
| Chemical Engineering | 6 | 6% |
| Computer Science | 4 | 4% |
| Medicine and Dentistry | 4 | 4% |
| Other | 10 | 10% |
| Unknown | 37 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 10 April 2019.
All research outputs
#4,639,417
of 23,122,481 outputs
Outputs from Microbial Cell Factories
#258
of 1,619 outputs
Outputs of similar age
#106,084
of 438,317 outputs
Outputs of similar age from Microbial Cell Factories
#8
of 36 outputs
Altmetric has tracked 23,122,481 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,619 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done well, scoring higher than 84% 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 438,317 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 75% of its contemporaries.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.