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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Machine learning-based predictions of dietary restriction associations across ageing-related genes
|
|---|---|
| Published in |
BMC Bioinformatics, January 2022
|
| DOI | 10.1186/s12859-021-04523-8 |
| Pubmed ID | |
| Authors |
Gustavo Daniel Vega Magdaleno, Vladislav Bespalov, Yalin Zheng, Alex A. Freitas, Joao Pedro de Magalhaes |
X Demographics
The data shown below were collected from the profiles of 26 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 Kingdom | 8 | 31% |
| United States | 3 | 12% |
| Spain | 1 | 4% |
| Greece | 1 | 4% |
| Mexico | 1 | 4% |
| Unknown | 12 | 46% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 21 | 81% |
| Scientists | 4 | 15% |
| Practitioners (doctors, other healthcare professionals) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 14% |
| Student > Bachelor | 2 | 9% |
| Student > Ph. D. Student | 2 | 9% |
| Other | 1 | 5% |
| Student > Postgraduate | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 13 | 59% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 9% |
| Biochemistry, Genetics and Molecular Biology | 2 | 9% |
| Computer Science | 2 | 9% |
| Agricultural and Biological Sciences | 2 | 9% |
| Business, Management and Accounting | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 13 | 59% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 17 May 2022.
All research outputs
#2,324,966
of 23,784,266 outputs
Outputs from BMC Bioinformatics
#619
of 7,439 outputs
Outputs of similar age
#57,402
of 515,817 outputs
Outputs of similar age from BMC Bioinformatics
#21
of 140 outputs
Altmetric has tracked 23,784,266 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 7,439 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done particularly well, scoring higher than 91% 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 515,817 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 88% of its contemporaries.
We're also able to compare this research output to 140 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.