The data shown below were collected from the profiles of 15 X users who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Combining Machine Learning and Metabolomics to Identify Weight Gain Biomarkers
|
|---|---|
| Published in |
Frontiers in Bioengineering and Biotechnology, January 2020
|
| DOI | 10.3389/fbioe.2020.00006 |
| Pubmed ID | |
| Authors |
Flávia Luísa Dias-Audibert, Luiz Claudio Navarro, Diogo Noin de Oliveira, Jeany Delafiori, Carlos Fernando Odir Rodrigues Melo, Tatiane Melina Guerreiro, Flávia Troncon Rosa, Diego Lima Petenuci, Maria Angelica Ehara Watanabe, Licio Augusto Velloso, Anderson Rezende Rocha, Rodrigo Ramos Catharino |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 7% |
| Germany | 1 | 7% |
| Canada | 1 | 7% |
| Unknown | 12 | 80% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 67% |
| Scientists | 3 | 20% |
| Science communicators (journalists, bloggers, editors) | 1 | 7% |
| Practitioners (doctors, other healthcare professionals) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 112 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 15% |
| Student > Bachelor | 17 | 15% |
| Researcher | 13 | 12% |
| Student > Master | 9 | 8% |
| Student > Doctoral Student | 7 | 6% |
| Other | 20 | 18% |
| Unknown | 29 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 19 | 17% |
| Agricultural and Biological Sciences | 10 | 9% |
| Computer Science | 8 | 7% |
| Medicine and Dentistry | 7 | 6% |
| Chemistry | 4 | 4% |
| Other | 26 | 23% |
| Unknown | 38 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 76. 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 10 February 2022.
All research outputs
#480,691
of 23,090,520 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#38
of 6,776 outputs
Outputs of similar age
#12,700
of 451,318 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#7
of 247 outputs
Altmetric has tracked 23,090,520 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,776 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done particularly well, scoring higher than 99% 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 451,318 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 247 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 97% of its contemporaries.