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X Demographics
Mendeley readers
Attention Score in Context
| Title |
User-friendly optimization approach of fed-batch fermentation conditions for the production of iturin A using artificial neural networks and support vector machine
|
|---|---|
| Published in |
Electronic Journal of Biotechnology, July 2015
|
| DOI | 10.1016/j.ejbt.2015.05.001 |
| Authors |
Fudi Chen, Hao Li, Zhihan Xu, Shixia Hou, Dazuo Yang |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Chile | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 2% |
| Unknown | 62 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 17% |
| Student > Master | 9 | 14% |
| Researcher | 8 | 13% |
| Student > Bachelor | 7 | 11% |
| Student > Doctoral Student | 3 | 5% |
| Other | 5 | 8% |
| Unknown | 20 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemical Engineering | 8 | 13% |
| Agricultural and Biological Sciences | 8 | 13% |
| Biochemistry, Genetics and Molecular Biology | 8 | 13% |
| Engineering | 7 | 11% |
| Environmental Science | 2 | 3% |
| Other | 6 | 10% |
| Unknown | 24 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 06 August 2017.
All research outputs
#21,157,205
of 25,986,827 outputs
Outputs from Electronic Journal of Biotechnology
#14
of 16 outputs
Outputs of similar age
#204,424
of 278,874 outputs
Outputs of similar age from Electronic Journal of Biotechnology
#3
of 5 outputs
Altmetric has tracked 25,986,827 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 16 research outputs from this source. They receive a mean Attention Score of 3.5. This one scored the same or higher as 2 of them.
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 278,874 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.