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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A meta-analysis of immune-cell fractions at high resolution reveals novel associations with common phenotypes and health outcomes
|
|---|---|
| Published in |
Genome Medicine, July 2023
|
| DOI | 10.1186/s13073-023-01211-5 |
| Pubmed ID | |
| Authors |
Qi Luo, Varun B. Dwaraka, Qingwen Chen, Huige Tong, Tianyu Zhu, Kirsten Seale, Joseph M. Raffaele, Shijie C. Zheng, Tavis L. Mendez, Yulu Chen, Natalia Carreras, Sofina Begum, Kevin Mendez, Sarah Voisin, Nir Eynon, Jessica A. Lasky-Su, Ryan Smith, Andrew E. Teschendorff |
X Demographics
The data shown below were collected from the profiles of 15 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 | 7 | 47% |
| Australia | 2 | 13% |
| Austria | 1 | 7% |
| United Kingdom | 1 | 7% |
| Mexico | 1 | 7% |
| Unknown | 3 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 60% |
| Scientists | 6 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 29 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 14% |
| Student > Bachelor | 3 | 10% |
| Student > Ph. D. Student | 2 | 7% |
| Librarian | 1 | 3% |
| Professor | 1 | 3% |
| Other | 3 | 10% |
| Unknown | 15 | 52% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 5 | 17% |
| Medicine and Dentistry | 3 | 10% |
| Agricultural and Biological Sciences | 2 | 7% |
| Immunology and Microbiology | 1 | 3% |
| Unspecified | 1 | 3% |
| Other | 2 | 7% |
| Unknown | 15 | 52% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 29 February 2024.
All research outputs
#2,235,999
of 25,984,873 outputs
Outputs from Genome Medicine
#486
of 1,623 outputs
Outputs of similar age
#38,683
of 363,990 outputs
Outputs of similar age from Genome Medicine
#10
of 26 outputs
Altmetric has tracked 25,984,873 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,623 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.4. This one has gotten more attention than average, scoring higher than 70% 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 363,990 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 89% 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 has gotten more attention than average, scoring higher than 61% of its contemporaries.