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X Demographics
Mendeley readers
Attention Score in Context
Title |
Analyzing magnetic bead QuantiGene® Plex 2.0 gene expression data in high throughput mode using QGprofiler
|
---|---|
Published in |
BMC Bioinformatics, July 2019
|
DOI | 10.1186/s12859-019-2975-2 |
Pubmed ID | |
Authors |
Bie Verbist, Eva Adriaensen, Vikki Keersmaekers, Dea Putri, Marjolein Crabbe, Maarten Derks, Rytis Bagdziunas, Griet Laenen, Hans De Wolf |
X Demographics
The data shown below were collected from the profiles of 2 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 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 15 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 3 | 20% |
Other | 2 | 13% |
Student > Master | 2 | 13% |
Researcher | 2 | 13% |
Student > Doctoral Student | 1 | 7% |
Other | 2 | 13% |
Unknown | 3 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 4 | 27% |
Computer Science | 2 | 13% |
Biochemistry, Genetics and Molecular Biology | 1 | 7% |
Nursing and Health Professions | 1 | 7% |
Agricultural and Biological Sciences | 1 | 7% |
Other | 2 | 13% |
Unknown | 4 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 July 2019.
All research outputs
#18,024,509
of 23,151,828 outputs
Outputs from BMC Bioinformatics
#5,996
of 7,339 outputs
Outputs of similar age
#242,599
of 346,835 outputs
Outputs of similar age from BMC Bioinformatics
#129
of 161 outputs
Altmetric has tracked 23,151,828 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,339 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 13th percentile – i.e., 13% 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 346,835 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 161 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.