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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Meta-analysis of Immunochip data of four autoimmune diseases reveals novel single-disease and cross-phenotype associations
|
|---|---|
| Published in |
Genome Medicine, December 2018
|
| DOI | 10.1186/s13073-018-0604-8 |
| Pubmed ID | |
| Authors |
Ana Márquez, Martin Kerick, Alexandra Zhernakova, Javier Gutierrez-Achury, Wei-Min Chen, Suna Onengut-Gumuscu, Isidoro González-Álvaro, Luis Rodriguez-Rodriguez, Raquel Rios-Fernández, Miguel A. González-Gay, Maureen D. Mayes, Soumya Raychaudhuri, Stephen S. Rich, Cisca Wijmenga, Javier Martín |
X Demographics
The data shown below were collected from the profiles of 10 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 Kingdom | 5 | 50% |
| United States | 1 | 10% |
| Belgium | 1 | 10% |
| Unknown | 3 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 5 | 50% |
| Members of the public | 4 | 40% |
| Science communicators (journalists, bloggers, editors) | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 116 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 116 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 30 | 26% |
| Student > Ph. D. Student | 20 | 17% |
| Student > Master | 9 | 8% |
| Student > Bachelor | 7 | 6% |
| Professor > Associate Professor | 6 | 5% |
| Other | 14 | 12% |
| Unknown | 30 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 27 | 23% |
| Medicine and Dentistry | 18 | 16% |
| Immunology and Microbiology | 11 | 9% |
| Agricultural and Biological Sciences | 6 | 5% |
| Nursing and Health Professions | 4 | 3% |
| Other | 11 | 9% |
| Unknown | 39 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 11 October 2021.
All research outputs
#6,045,151
of 23,323,574 outputs
Outputs from Genome Medicine
#1,022
of 1,457 outputs
Outputs of similar age
#122,606
of 437,231 outputs
Outputs of similar age from Genome Medicine
#18
of 26 outputs
Altmetric has tracked 23,323,574 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 1,457 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.9. This one is in the 29th percentile – i.e., 29% 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 437,231 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 71% of its contemporaries.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.