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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Metabolomic Alterations Do Not Induce Metabolic Burden in the Industrial Yeast M2n[pBKD2-Pccbgl1]-C1 Engineered by Multiple δ-Integration of a Fungal β-Glucosidase Gene
|
|---|---|
| Published in |
Frontiers in Bioengineering and Biotechnology, November 2019
|
| DOI | 10.3389/fbioe.2019.00376 |
| Pubmed ID | |
| Authors |
Lorenzo Favaro, Lorenzo Cagnin, Laura Corte, Luca Roscini, Fabio De Pascale, Laura Treu, Stefano Campanaro, Marina Basaglia, Willem H. van Zyl, Sergio Casella, Gianluigi Cardinali |
X Demographics
The data shown below were collected from the profiles of 6 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 | 50% |
| Switzerland | 1 | 17% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 5 | 83% |
| Members of the public | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 26 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 23% |
| Student > Ph. D. Student | 5 | 19% |
| Professor | 4 | 15% |
| Student > Postgraduate | 4 | 15% |
| Unspecified | 2 | 8% |
| Other | 3 | 12% |
| Unknown | 2 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 8 | 31% |
| Agricultural and Biological Sciences | 7 | 27% |
| Unspecified | 2 | 8% |
| Immunology and Microbiology | 2 | 8% |
| Social Sciences | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 4 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 05 December 2019.
All research outputs
#14,814,503
of 25,703,943 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#1,761
of 8,644 outputs
Outputs of similar age
#234,932
of 479,864 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#63
of 187 outputs
Altmetric has tracked 25,703,943 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,644 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done well, scoring higher than 78% 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 479,864 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 50% of its contemporaries.
We're also able to compare this research output to 187 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 65% of its contemporaries.