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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Benchmark of Data Processing Methods and Machine Learning Models for Gut Microbiome-Based Diagnosis of Inflammatory Bowel Disease
|
|---|---|
| Published in |
Frontiers in Genetics, February 2022
|
| DOI | 10.3389/fgene.2022.784397 |
| Pubmed ID | |
| Authors |
Ryszard Kubinski, Jean-Yves Djamen-Kepaou, Timur Zhanabaev, Alex Hernandez-Garcia, Stefan Bauer, Falk Hildebrand, Tamas Korcsmaros, Sani Karam, Prévost Jantchou, Kamran Kafi, Ryan D. Martin |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 2 | 20% |
| United Kingdom | 1 | 10% |
| Unknown | 7 | 70% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 50% |
| Scientists | 4 | 40% |
| Practitioners (doctors, other healthcare professionals) | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 31 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 26% |
| Student > Master | 4 | 13% |
| Other | 3 | 10% |
| Student > Bachelor | 2 | 6% |
| Lecturer | 1 | 3% |
| Other | 3 | 10% |
| Unknown | 10 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 8 | 26% |
| Agricultural and Biological Sciences | 5 | 16% |
| Computer Science | 5 | 16% |
| Immunology and Microbiology | 1 | 3% |
| Engineering | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 11 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 19 September 2022.
All research outputs
#4,629,148
of 23,371,053 outputs
Outputs from Frontiers in Genetics
#1,421
of 12,393 outputs
Outputs of similar age
#117,432
of 522,871 outputs
Outputs of similar age from Frontiers in Genetics
#59
of 914 outputs
Altmetric has tracked 23,371,053 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,393 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 88% 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 522,871 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 77% of its contemporaries.
We're also able to compare this research output to 914 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.