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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Flimma: a federated and privacy-aware tool for differential gene expression analysis
|
|---|---|
| Published in |
Genome Biology, December 2021
|
| DOI | 10.1186/s13059-021-02553-2 |
| Pubmed ID | |
| Authors |
Olga Zolotareva, Reza Nasirigerdeh, Julian Matschinske, Reihaneh Torkzadehmahani, Mohammad Bakhtiari, Tobias Frisch, Julian Späth, David B. Blumenthal, Amir Abbasinejad, Paolo Tieri, Georgios Kaissis, Daniel Rückert, Nina K. Wenke, Markus List, Jan Baumbach |
X Demographics
The data shown below were collected from the profiles of 22 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 6 | 27% |
| United States | 3 | 14% |
| United Kingdom | 2 | 9% |
| Austria | 2 | 9% |
| Hong Kong | 1 | 5% |
| Sweden | 1 | 5% |
| France | 1 | 5% |
| Unknown | 6 | 27% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 10 | 45% |
| Members of the public | 10 | 45% |
| Practitioners (doctors, other healthcare professionals) | 1 | 5% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 24 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 17% |
| Researcher | 2 | 8% |
| Student > Ph. D. Student | 2 | 8% |
| Unspecified | 1 | 4% |
| Other | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 12 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 5 | 21% |
| Computer Science | 2 | 8% |
| Business, Management and Accounting | 1 | 4% |
| Unspecified | 1 | 4% |
| Social Sciences | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 13 | 54% |
Attention Score in Context
This research output has an Altmetric Attention Score of 21. 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 25 July 2023.
All research outputs
#1,754,565
of 25,392,582 outputs
Outputs from Genome Biology
#1,453
of 4,470 outputs
Outputs of similar age
#42,104
of 512,151 outputs
Outputs of similar age from Genome Biology
#45
of 86 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,470 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 67% 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 512,151 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 91% of its contemporaries.
We're also able to compare this research output to 86 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.