The data shown below were collected from the profiles of 14 X users who shared this research output. Click here to find out more about how the information was compiled.
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Timeline
X Demographics
Mendeley readers
Attention Score in Context
Title |
STATegra: Multi-Omics Data Integration – A Conceptual Scheme With a Bioinformatics Pipeline
|
---|---|
Published in |
Frontiers in Genetics, March 2021
|
DOI | 10.3389/fgene.2021.620453 |
Pubmed ID | |
Authors |
Nuria Planell, Vincenzo Lagani, Patricia Sebastian-Leon, Frans van der Kloet, Ewoud Ewing, Nestoras Karathanasis, Arantxa Urdangarin, Imanol Arozarena, Maja Jagodic, Ioannis Tsamardinos, Sonia Tarazona, Ana Conesa, Jesper Tegner, David Gomez-Cabrero |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Venezuela, Bolivarian Republic of | 2 | 14% |
United Kingdom | 1 | 7% |
China | 1 | 7% |
Indonesia | 1 | 7% |
India | 1 | 7% |
United States | 1 | 7% |
Spain | 1 | 7% |
Australia | 1 | 7% |
Unknown | 5 | 36% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 9 | 64% |
Scientists | 5 | 36% |
Mendeley readers
The data shown below were compiled from readership statistics for 128 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 128 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 21 | 16% |
Student > Ph. D. Student | 19 | 15% |
Student > Bachelor | 12 | 9% |
Student > Master | 11 | 9% |
Other | 6 | 5% |
Other | 18 | 14% |
Unknown | 41 | 32% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 32 | 25% |
Agricultural and Biological Sciences | 13 | 10% |
Computer Science | 9 | 7% |
Immunology and Microbiology | 6 | 5% |
Medicine and Dentistry | 6 | 5% |
Other | 15 | 12% |
Unknown | 47 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 06 April 2021.
All research outputs
#2,063,884
of 22,846,662 outputs
Outputs from Frontiers in Genetics
#480
of 11,854 outputs
Outputs of similar age
#56,523
of 418,147 outputs
Outputs of similar age from Frontiers in Genetics
#19
of 518 outputs
Altmetric has tracked 22,846,662 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,854 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done particularly well, scoring higher than 95% 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 418,147 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 86% of its contemporaries.
We're also able to compare this research output to 518 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 96% of its contemporaries.