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X Demographics
Mendeley readers
Attention Score in Context
Title |
xcore: an R package for inference of gene expression regulators
|
---|---|
Published in |
BMC Bioinformatics, January 2023
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DOI | 10.1186/s12859-022-05084-0 |
Pubmed ID | |
Authors |
Maciej Migdał, Takahiro Arakawa, Satoshi Takizawa, Masaaki Furuno, Harukazu Suzuki, Erik Arner, Cecilia Lanny Winata, Bogumił Kaczkowski |
X Demographics
The data shown below were collected from the profiles of 92 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 | 17 | 18% |
France | 5 | 5% |
Spain | 5 | 5% |
Germany | 3 | 3% |
United Kingdom | 3 | 3% |
Switzerland | 2 | 2% |
Japan | 2 | 2% |
Poland | 2 | 2% |
Mexico | 2 | 2% |
Other | 11 | 12% |
Unknown | 40 | 43% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 47 | 51% |
Scientists | 44 | 48% |
Practitioners (doctors, other healthcare professionals) | 1 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 19 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 3 | 16% |
Researcher | 3 | 16% |
Student > Master | 1 | 5% |
Student > Doctoral Student | 1 | 5% |
Unspecified | 1 | 5% |
Other | 2 | 11% |
Unknown | 8 | 42% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 6 | 32% |
Unspecified | 1 | 5% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 5% |
Agricultural and Biological Sciences | 1 | 5% |
Immunology and Microbiology | 1 | 5% |
Other | 1 | 5% |
Unknown | 8 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 48. 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 23 January 2023.
All research outputs
#901,406
of 25,809,907 outputs
Outputs from BMC Bioinformatics
#61
of 7,752 outputs
Outputs of similar age
#20,035
of 480,525 outputs
Outputs of similar age from BMC Bioinformatics
#3
of 132 outputs
Altmetric has tracked 25,809,907 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,752 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. 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 480,525 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 95% of its contemporaries.
We're also able to compare this research output to 132 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 97% of its contemporaries.