You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Deep sequencing reveals a DAP1 regulatory haplotype that potentiates autoimmunity in systemic lupus erythematosus
|
|---|---|
| Published in |
Genome Biology, November 2020
|
| DOI | 10.1186/s13059-020-02184-z |
| Pubmed ID | |
| Authors |
Prithvi Raj, Ran Song, Honglin Zhu, Linley Riediger, Dong-Jae Jun, Chaoying Liang, Carlos Arana, Bo Zhang, Yajing Gao, Benjamin E. Wakeland, Igor Dozmorov, Jinchun Zhou, Jennifer A. Kelly, Bernard R. Lauwerys, Joel M. Guthridge, Nancy J. Olsen, Swapan K. Nath, Chandrashekhar Pasare, Nicolai van Oers, Gary Gilkeson, Betty P. Tsao, Patrick M. Gaffney, Peter K. Gregersen, Judith A. James, Xiaoxia Zuo, David R. Karp, Quan-Zhen Li, Edward K. Wakeland |
X Demographics
The data shown below were collected from the profiles of 6 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 | 17% |
| United Kingdom | 1 | 17% |
| Unknown | 4 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 50% |
| Science communicators (journalists, bloggers, editors) | 2 | 33% |
| Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 14 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 29% |
| Student > Ph. D. Student | 3 | 21% |
| Student > Doctoral Student | 2 | 14% |
| Student > Bachelor | 1 | 7% |
| Student > Master | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 3 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 6 | 43% |
| Immunology and Microbiology | 2 | 14% |
| Computer Science | 1 | 7% |
| Biochemistry, Genetics and Molecular Biology | 1 | 7% |
| Social Sciences | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 2 | 14% |
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 23 November 2020.
All research outputs
#8,192,846
of 25,387,668 outputs
Outputs from Genome Biology
#3,435
of 4,470 outputs
Outputs of similar age
#189,343
of 516,460 outputs
Outputs of similar age from Genome Biology
#43
of 48 outputs
Altmetric has tracked 25,387,668 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 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 22nd percentile – i.e., 22% 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 516,460 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 62% of its contemporaries.
We're also able to compare this research output to 48 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.