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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A comparison of feature selection methodologies and learning algorithms in the development of a DNA methylation-based telomere length estimator
|
|---|---|
| Published in |
BMC Bioinformatics, May 2023
|
| DOI | 10.1186/s12859-023-05282-4 |
| Pubmed ID | |
| Authors |
Trevor Doherty, Emma Dempster, Eilis Hannon, Jonathan Mill, Richie Poulton, David Corcoran, Karen Sugden, Ben Williams, Avshalom Caspi, Terrie E. Moffitt, Sarah Jane Delany, Therese M. Murphy |
X Demographics
The data shown below were collected from the profiles of 5 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 States | 1 | 20% |
| Germany | 1 | 20% |
| United Kingdom | 1 | 20% |
| Ireland | 1 | 20% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 80% |
| Members of the public | 1 | 20% |
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 | 2 | 9% |
| Student > Ph. D. Student | 2 | 9% |
| Lecturer | 1 | 5% |
| Unspecified | 1 | 5% |
| Other | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 14 | 64% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 3 | 14% |
| Biochemistry, Genetics and Molecular Biology | 3 | 14% |
| Unspecified | 1 | 5% |
| Social Sciences | 1 | 5% |
| Medicine and Dentistry | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 13 | 59% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 03 May 2023.
All research outputs
#7,985,103
of 24,710,887 outputs
Outputs from BMC Bioinformatics
#3,002
of 7,575 outputs
Outputs of similar age
#135,886
of 390,907 outputs
Outputs of similar age from BMC Bioinformatics
#53
of 137 outputs
Altmetric has tracked 24,710,887 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 7,575 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 gotten more attention than average, scoring higher than 58% 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 390,907 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.
We're also able to compare this research output to 137 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.