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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Machine learning-assisted identification of bioindicators predicts medium-chain carboxylate production performance of an anaerobic mixed culture
|
|---|---|
| Published in |
Microbiome, March 2022
|
| DOI | 10.1186/s40168-021-01219-2 |
| Pubmed ID | |
| Authors |
Bin Liu, Heike Sträuber, João Saraiva, Hauke Harms, Sandra Godinho Silva, Jonas Coelho Kasmanas, Sabine Kleinsteuber, Ulisses Nunes da Rocha |
X Demographics
The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 5 | 45% |
| Unknown | 6 | 55% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 55% |
| Scientists | 5 | 45% |
Mendeley readers
The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 55 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 20% |
| Researcher | 8 | 15% |
| Student > Postgraduate | 5 | 9% |
| Student > Bachelor | 4 | 7% |
| Student > Master | 4 | 7% |
| Other | 10 | 18% |
| Unknown | 13 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 12 | 22% |
| Biochemistry, Genetics and Molecular Biology | 7 | 13% |
| Environmental Science | 5 | 9% |
| Engineering | 4 | 7% |
| Chemical Engineering | 4 | 7% |
| Other | 9 | 16% |
| Unknown | 14 | 25% |
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 29 March 2022.
All research outputs
#4,589,846
of 24,576,899 outputs
Outputs from Microbiome
#1,335
of 1,660 outputs
Outputs of similar age
#99,890
of 432,587 outputs
Outputs of similar age from Microbiome
#40
of 46 outputs
Altmetric has tracked 24,576,899 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 1,660 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.8. This one is in the 19th percentile – i.e., 19% 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 432,587 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 76% of its contemporaries.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.