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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Could Artificial Intelligence/Machine Learning and Inclusion of Diet-Gut Microbiome Interactions Improve Disease Risk Prediction? Case Study: Coronary Artery Disease
|
|---|---|
| Published in |
Frontiers in Microbiology, April 2022
|
| DOI | 10.3389/fmicb.2022.627892 |
| Pubmed ID | |
| Authors |
Baiba Vilne, Juris Ķibilds, Inese Siksna, Ilva Lazda, Olga Valciņa, Angelika Krūmiņa |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 13% |
| Spain | 1 | 13% |
| India | 1 | 13% |
| Unknown | 5 | 63% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 63% |
| Practitioners (doctors, other healthcare professionals) | 2 | 25% |
| Scientists | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 80 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 11% |
| Student > Master | 6 | 8% |
| Researcher | 6 | 8% |
| Student > Postgraduate | 5 | 6% |
| Other | 5 | 6% |
| Other | 11 | 14% |
| Unknown | 38 | 48% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 5 | 6% |
| Medicine and Dentistry | 5 | 6% |
| Nursing and Health Professions | 5 | 6% |
| Unspecified | 3 | 4% |
| Biochemistry, Genetics and Molecular Biology | 3 | 4% |
| Other | 13 | 16% |
| Unknown | 46 | 57% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 07 July 2022.
All research outputs
#3,414,911
of 25,443,857 outputs
Outputs from Frontiers in Microbiology
#3,072
of 29,374 outputs
Outputs of similar age
#76,842
of 448,035 outputs
Outputs of similar age from Frontiers in Microbiology
#89
of 1,400 outputs
Altmetric has tracked 25,443,857 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 29,374 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has done well, scoring higher than 89% 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 448,035 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 82% of its contemporaries.
We're also able to compare this research output to 1,400 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.