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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Characterisation and reproducibility of the HumanMethylationEPIC v2.0 BeadChip for DNA methylation profiling
|
|---|---|
| Published in |
BMC Genomics, March 2024
|
| DOI | 10.1186/s12864-024-10027-5 |
| Pubmed ID | |
| Authors |
Timothy J. Peters, Braydon Meyer, Lauren Ryan, Joanna Achinger-Kawecka, Jenny Song, Elyssa M. Campbell, Wenjia Qu, Shalima Nair, Phuc Loi-Luu, Phillip Stricker, Elgene Lim, Clare Stirzaker, Susan J. Clark, Ruth Pidsley |
X Demographics
The data shown below were collected from the profiles of 16 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 6 | 38% |
| Norway | 1 | 6% |
| Netherlands | 1 | 6% |
| France | 1 | 6% |
| Ireland | 1 | 6% |
| Unknown | 6 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 8 | 50% |
| Members of the public | 6 | 38% |
| Practitioners (doctors, other healthcare professionals) | 2 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 5 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 2 | 40% |
| Professor | 1 | 20% |
| Student > Postgraduate | 1 | 20% |
| Unknown | 1 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 3 | 60% |
| Social Sciences | 1 | 20% |
| Unknown | 1 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 March 2024.
All research outputs
#3,041,202
of 25,468,789 outputs
Outputs from BMC Genomics
#932
of 11,268 outputs
Outputs of similar age
#20,361
of 171,559 outputs
Outputs of similar age from BMC Genomics
#3
of 56 outputs
Altmetric has tracked 25,468,789 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,268 research outputs from this source. They receive a mean Attention Score of 4.8. 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 171,559 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 56 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 96% of its contemporaries.