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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Machine-Learning-Based Approach to Prediction of Biogeographic Ancestry within Europe
|
|---|---|
| Published in |
International Journal of Molecular Sciences, October 2023
|
| DOI | 10.3390/ijms242015095 |
| Pubmed ID | |
| Authors |
Anna Kloska, Agata Giełczyk, Tomasz Grzybowski, Rafał Płoski, Sylwester M. Kloska, Tomasz Marciniak, Krzysztof Pałczyński, Urszula Rogalla-Ładniak, Boris A. Malyarchuk, Miroslava V. Derenko, Nataša Kovačević-Grujičić, Milena Stevanović, Danijela Drakulić, Slobodan Davidović, Magdalena Spólnicka, Magdalena Zubańska, Marcin Woźniak |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 10 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Librarian | 1 | 10% |
| Student > Ph. D. Student | 1 | 10% |
| Lecturer | 1 | 10% |
| Other | 1 | 10% |
| Unknown | 6 | 60% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 1 | 10% |
| Business, Management and Accounting | 1 | 10% |
| Agricultural and Biological Sciences | 1 | 10% |
| Computer Science | 1 | 10% |
| Medicine and Dentistry | 1 | 10% |
| Other | 0 | 0% |
| Unknown | 5 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 14 January 2024.
All research outputs
#17,302,400
of 25,394,764 outputs
Outputs from International Journal of Molecular Sciences
#22,890
of 44,378 outputs
Outputs of similar age
#193,726
of 354,026 outputs
Outputs of similar age from International Journal of Molecular Sciences
#598
of 1,379 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 44,378 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one is in the 32nd percentile – i.e., 32% of its peers scored the same or lower than it.
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 354,026 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,379 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.