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X Demographics
Mendeley readers
Attention Score in Context
Title |
Mapping the functional impact of non-coding regulatory elements in primary T cells through single-cell CRISPR screens
|
---|---|
Published in |
Genome Biology, February 2024
|
DOI | 10.1186/s13059-024-03176-z |
Pubmed ID | |
Authors |
Celia Alda-Catalinas, Ximena Ibarra-Soria, Christina Flouri, Jorge Esparza Gordillo, Diana Cousminer, Anna Hutchinson, Bin Sun, William Pembroke, Sebastian Ullrich, Adam Krejci, Adrian Cortes, Alison Acevedo, Sunir Malla, Carl Fishwick, Gerard Drewes, Radu Rapiteanu |
X Demographics
The data shown below were collected from the profiles of 19 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 | 37% |
United Kingdom | 4 | 21% |
Australia | 2 | 11% |
Unknown | 6 | 32% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 12 | 63% |
Scientists | 7 | 37% |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 12 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Other | 2 | 17% |
Student > Ph. D. Student | 1 | 8% |
Student > Master | 1 | 8% |
Researcher | 1 | 8% |
Professor > Associate Professor | 1 | 8% |
Other | 1 | 8% |
Unknown | 5 | 42% |
Readers by discipline | Count | As % |
---|---|---|
Immunology and Microbiology | 2 | 17% |
Agricultural and Biological Sciences | 2 | 17% |
Mathematics | 1 | 8% |
Biochemistry, Genetics and Molecular Biology | 1 | 8% |
Unknown | 6 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 March 2024.
All research outputs
#3,668,755
of 25,626,416 outputs
Outputs from Genome Biology
#2,521
of 4,497 outputs
Outputs of similar age
#49,513
of 337,789 outputs
Outputs of similar age from Genome Biology
#30
of 62 outputs
Altmetric has tracked 25,626,416 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,497 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 43rd percentile – i.e., 43% 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 337,789 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 85% of its contemporaries.
We're also able to compare this research output to 62 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 53% of its contemporaries.