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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Ultra-sensitive molecular detection of gene fusions from RNA using ASPYRE
|
|---|---|
| Published in |
BMC Medical Genomics, October 2022
|
| DOI | 10.1186/s12920-022-01363-0 |
| Pubmed ID | |
| Authors |
Eleanor R Gray, Justyna M Mordaka, Efthimia R Christoforou, Kristine von Bargen, Nicola D Potts, Christina Xyrafaki, Ana-Luisa Silva, Magdalena Stolarek-Januszkiewicz, Katarzyna Anton, Paulina K Powalowska, Simonetta Andreazza, Alessandro Tomassini, Rebecca N Palmer, Aishling Cooke, Robert J Osborne, Barnaby W Balmforth |
X Demographics
The data shown below were collected from the profiles of 4 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 | 1 | 25% |
| France | 1 | 25% |
| United States | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 50% |
| Members of the public | 2 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 5 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 2 | 40% |
| Other | 1 | 20% |
| Student > Doctoral Student | 1 | 20% |
| Unknown | 1 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 2 | 40% |
| Business, Management and Accounting | 1 | 20% |
| Unknown | 2 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 352. 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 09 August 2023.
All research outputs
#85,294
of 24,230,934 outputs
Outputs from BMC Medical Genomics
#1
of 1,307 outputs
Outputs of similar age
#2,539
of 428,391 outputs
Outputs of similar age from BMC Medical Genomics
#1
of 33 outputs
Altmetric has tracked 24,230,934 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 1,307 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done particularly well, scoring higher than 99% 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 428,391 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 99% of its contemporaries.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.