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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Coupling growth kinetics modeling with machine learning reveals microbial immigration impacts and identifies key environmental parameters in a biological wastewater treatment process
|
|---|---|
| Published in |
Microbiome, April 2019
|
| DOI | 10.1186/s40168-019-0682-x |
| Pubmed ID | |
| Authors |
Ran Mei, Jinha Kim, Fernanda P. Wilson, Benjamin T. W. Bocher, Wen-Tso Liu |
X Demographics
The data shown below were collected from the profiles of 14 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 | 3 | 21% |
| Mexico | 1 | 7% |
| Peru | 1 | 7% |
| Spain | 1 | 7% |
| Singapore | 1 | 7% |
| Austria | 1 | 7% |
| Netherlands | 1 | 7% |
| Unknown | 5 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 57% |
| Scientists | 6 | 43% |
Mendeley readers
The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 74 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 22% |
| Student > Master | 8 | 11% |
| Researcher | 6 | 8% |
| Student > Bachelor | 6 | 8% |
| Student > Postgraduate | 3 | 4% |
| Other | 10 | 14% |
| Unknown | 25 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 15 | 20% |
| Agricultural and Biological Sciences | 9 | 12% |
| Engineering | 8 | 11% |
| Biochemistry, Genetics and Molecular Biology | 5 | 7% |
| Computer Science | 2 | 3% |
| Other | 8 | 11% |
| Unknown | 27 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 13 May 2019.
All research outputs
#2,099,305
of 23,023,224 outputs
Outputs from Microbiome
#842
of 1,455 outputs
Outputs of similar age
#48,557
of 349,772 outputs
Outputs of similar age from Microbiome
#31
of 47 outputs
Altmetric has tracked 23,023,224 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,455 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 40.4. This one is in the 42nd percentile – i.e., 42% 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 349,772 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 86% of its contemporaries.
We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.