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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Nucleotides upstream of the Kozak sequence strongly influence gene expression in the yeast S. cerevisiae
|
|---|---|
| Published in |
Journal of Biological Engineering, August 2017
|
| DOI | 10.1186/s13036-017-0068-1 |
| Pubmed ID | |
| Authors |
Jing Li, Qiang Liang, Wenjiang Song, Mario Andrea Marchisio |
X Demographics
The data shown below were collected from the profiles of 3 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 States | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 155 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 155 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 27 | 17% |
| Student > Ph. D. Student | 26 | 17% |
| Researcher | 23 | 15% |
| Student > Master | 15 | 10% |
| Student > Postgraduate | 10 | 6% |
| Other | 15 | 10% |
| Unknown | 39 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 59 | 38% |
| Agricultural and Biological Sciences | 29 | 19% |
| Engineering | 7 | 5% |
| Chemical Engineering | 5 | 3% |
| Immunology and Microbiology | 3 | 2% |
| Other | 8 | 5% |
| Unknown | 44 | 28% |
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 14 March 2024.
All research outputs
#4,674,543
of 25,738,558 outputs
Outputs from Journal of Biological Engineering
#67
of 312 outputs
Outputs of similar age
#73,764
of 326,575 outputs
Outputs of similar age from Journal of Biological Engineering
#2
of 8 outputs
Altmetric has tracked 25,738,558 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 312 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has done well, scoring higher than 77% 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 326,575 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 77% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.