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Mendeley readers
Attention Score in Context
| Title |
Targeted optimization of central carbon metabolism for engineering succinate production in Escherichia coli
|
|---|---|
| Published in |
BMC Biotechnology, June 2016
|
| DOI | 10.1186/s12896-016-0284-7 |
| Pubmed ID | |
| Authors |
Ying Zhao, Chang-Song Wang, Fei-Fei Li, Zhen-Ning Liu, Guang-Rong Zhao |
Mendeley readers
The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| China | 1 | 2% |
| Argentina | 1 | 2% |
| Unknown | 51 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 30% |
| Researcher | 7 | 13% |
| Student > Bachelor | 7 | 13% |
| Student > Master | 4 | 8% |
| Student > Postgraduate | 3 | 6% |
| Other | 4 | 8% |
| Unknown | 12 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 14 | 26% |
| Agricultural and Biological Sciences | 9 | 17% |
| Chemistry | 4 | 8% |
| Chemical Engineering | 3 | 6% |
| Computer Science | 1 | 2% |
| Other | 8 | 15% |
| Unknown | 14 | 26% |
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 03 January 2024.
All research outputs
#8,430,276
of 25,177,382 outputs
Outputs from BMC Biotechnology
#458
of 973 outputs
Outputs of similar age
#130,202
of 361,411 outputs
Outputs of similar age from BMC Biotechnology
#8
of 17 outputs
Altmetric has tracked 25,177,382 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 973 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one is in the 36th percentile – i.e., 36% of its peers scored the same or lower than it.
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 361,411 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 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 58% of its contemporaries.