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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Author Correction: The SEQC2 epigenomics quality control (EpiQC) study
|
|---|---|
| Published in |
Genome Biology, December 2021
|
| DOI | 10.1186/s13059-021-02573-y |
| Pubmed ID | |
| Authors |
Jonathan Foox, Jessica Nordlund, Claudia Lalancette, Ting Gong, Michelle Lacey, Samantha Lent, Bradley W. Langhorst, V. K. Chaithanya Ponnaluri, Louise Williams, Karthik Ramaswamy Padmanabhan, Raymond Cavalcante, Anders Lundmark, Daniel Butler, Christopher Mozsary, Justin Gurvitch, John M. Greally, Masako Suzuki, Mark Menor, Masaki Nasu, Alicia Alonso, Caroline Sheridan, Andreas Scherer, Stephen Bruinsma, Gosia Golda, Agata Muszynska, Paweł P. Łabaj, Matthew A. Campbell, Frank Wos, Amanda Raine, Ulrika Liljedahl, Tomas Axelsson, Charles Wang, Zhong Chen, Zhaowei Yang, Jing Li, Xiaopeng Yang, Hongwei Wang, Ari Melnick, Shang Guo, Alexander Blume, Vedran Franke, Inmaculada Ibanez de Caceres, Carlos Rodriguez-Antolin, Rocio Rosas, Justin Wade Davis, Jennifer Ishii, Dalila B. Megherbi, Wenming Xiao, Will Liao, Joshua Xu, Huixiao Hong, Baitang Ning, Weida Tong, Altuna Akalin, Yunliang Wang, Youping Deng, Christopher E. Mason |
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 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 1 | 50% |
| Other | 1 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 2 | 100% |
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 24 December 2021.
All research outputs
#17,302,400
of 25,394,764 outputs
Outputs from Genome Biology
#4,097
of 4,470 outputs
Outputs of similar age
#304,496
of 513,890 outputs
Outputs of similar age from Genome Biology
#90
of 91 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 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 5th percentile – i.e., 5% 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 513,890 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 91 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.