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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Machine Learning Approaches for Epidemiological Investigations of Food-Borne Disease Outbreaks
|
|---|---|
| Published in |
Frontiers in Microbiology, August 2019
|
| DOI | 10.3389/fmicb.2019.01722 |
| Pubmed ID | |
| Authors |
Baiba Vilne, Irēna Meistere, Lelde Grantiņa-Ieviņa, Juris Ķibilds |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Latvia | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 110 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 17 | 15% |
| Student > Ph. D. Student | 16 | 15% |
| Student > Master | 11 | 10% |
| Student > Bachelor | 7 | 6% |
| Professor > Associate Professor | 7 | 6% |
| Other | 13 | 12% |
| Unknown | 39 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 16 | 15% |
| Biochemistry, Genetics and Molecular Biology | 11 | 10% |
| Computer Science | 8 | 7% |
| Engineering | 5 | 5% |
| Immunology and Microbiology | 4 | 4% |
| Other | 21 | 19% |
| Unknown | 45 | 41% |
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 11 February 2020.
All research outputs
#12,838,189
of 23,153,184 outputs
Outputs from Frontiers in Microbiology
#8,710
of 25,376 outputs
Outputs of similar age
#153,069
of 345,067 outputs
Outputs of similar age from Frontiers in Microbiology
#245
of 681 outputs
Altmetric has tracked 23,153,184 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 25,376 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has gotten more attention than average, scoring higher than 65% 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 345,067 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.
We're also able to compare this research output to 681 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 63% of its contemporaries.