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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Modeling methyl-sensitive transcription factor motifs with an expanded epigenetic alphabet
|
|---|---|
| Published in |
Genome Biology, January 2024
|
| DOI | 10.1186/s13059-023-03070-0 |
| Pubmed ID | |
| Authors |
Coby Viner, Charles A. Ishak, James Johnson, Nicolas J. Walker, Hui Shi, Marcela K. Sjöberg-Herrera, Shu Yi Shen, Santana M. Lardo, David J. Adams, Anne C. Ferguson-Smith, Daniel D. De Carvalho, Sarah J. Hainer, Timothy L. Bailey, Michael M. Hoffman |
X Demographics
The data shown below were collected from the profiles of 17 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 9 | 53% |
| United States | 3 | 18% |
| United Kingdom | 1 | 6% |
| Chile | 1 | 6% |
| Unknown | 3 | 18% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 10 | 59% |
| Members of the public | 5 | 29% |
| Practitioners (doctors, other healthcare professionals) | 2 | 12% |
Mendeley readers
The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 5% |
| France | 1 | 2% |
| Netherlands | 1 | 2% |
| Canada | 1 | 2% |
| United Kingdom | 1 | 2% |
| Unknown | 49 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 21% |
| Student > Ph. D. Student | 10 | 18% |
| Student > Master | 6 | 11% |
| Unspecified | 4 | 7% |
| Student > Doctoral Student | 3 | 5% |
| Other | 10 | 18% |
| Unknown | 11 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 16 | 29% |
| Biochemistry, Genetics and Molecular Biology | 10 | 18% |
| Computer Science | 7 | 13% |
| Unspecified | 4 | 7% |
| Physics and Astronomy | 2 | 4% |
| Other | 5 | 9% |
| Unknown | 12 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 12 January 2024.
All research outputs
#3,600,545
of 25,394,764 outputs
Outputs from Genome Biology
#2,483
of 4,470 outputs
Outputs of similar age
#47,231
of 327,672 outputs
Outputs of similar age from Genome Biology
#33
of 75 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,470 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 44th percentile – i.e., 44% 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 327,672 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 85% of its contemporaries.
We're also able to compare this research output to 75 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 56% of its contemporaries.