The data shown below were collected from the profiles of 175 X users who shared this research output. Click here to find out more about how the information was compiled.
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| Title |
Single-cell eQTL analysis of activated T cell subsets reveals activation and cell type–dependent effects of disease-risk variants
|
|---|---|
| Published in |
Science Immunology, February 2022
|
| DOI | 10.1126/sciimmunol.abm2508 |
| Pubmed ID | |
| Authors |
Benjamin J Schmiedel, Cristian Gonzalez-Colin, Vicente Fajardo, Job Rocha, Ariel Madrigal, Ciro Ramírez-Suástegui, Sourya Bhattacharyya, Hayley Simon, Jason A Greenbaum, Bjoern Peters, Grégory Seumois, Ferhat Ay, Vivek Chandra, Pandurangan Vijayanand |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 18 | 10% |
| Mexico | 3 | 2% |
| India | 2 | 1% |
| Chile | 2 | 1% |
| Spain | 1 | <1% |
| Sweden | 1 | <1% |
| Brazil | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| France | 1 | <1% |
| Other | 10 | 6% |
| Unknown | 135 | 77% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 118 | 67% |
| Scientists | 44 | 25% |
| Practitioners (doctors, other healthcare professionals) | 8 | 5% |
| Science communicators (journalists, bloggers, editors) | 4 | 2% |
| Unknown | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 81 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 16 | 20% |
| Student > Ph. D. Student | 13 | 16% |
| Student > Doctoral Student | 6 | 7% |
| Student > Master | 4 | 5% |
| Student > Bachelor | 3 | 4% |
| Other | 8 | 10% |
| Unknown | 31 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 15 | 19% |
| Immunology and Microbiology | 14 | 17% |
| Medicine and Dentistry | 11 | 14% |
| Agricultural and Biological Sciences | 9 | 11% |
| Environmental Science | 1 | 1% |
| Other | 3 | 4% |
| Unknown | 28 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 185. 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 31 July 2024.
All research outputs
#231,163
of 26,547,438 outputs
Outputs from Science Immunology
#168
of 1,114 outputs
Outputs of similar age
#7,044
of 459,081 outputs
Outputs of similar age from Science Immunology
#9
of 50 outputs
Altmetric has tracked 26,547,438 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,114 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 136.1. This one has done well, scoring higher than 84% 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 459,081 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 50 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.