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X Demographics
Mendeley readers
Attention Score in Context
Title |
shinyCurves, a shiny web application to analyse multisource qPCR amplification data: a COVID-19 case study
|
---|---|
Published in |
BMC Bioinformatics, October 2021
|
DOI | 10.1186/s12859-021-04392-1 |
Pubmed ID | |
Authors |
S. Olaechea-Lázaro, I. García-Santisteban, J. R. Pineda, I. Badiola, S. Alonso, Jose Ramon Bilbao, Nora Fernandez-Jimenez |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 2 | 33% |
Sweden | 1 | 17% |
United Kingdom | 1 | 17% |
Unknown | 2 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 50% |
Scientists | 3 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 16 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 6 | 38% |
Lecturer > Senior Lecturer | 1 | 6% |
Other | 1 | 6% |
Student > Doctoral Student | 1 | 6% |
Student > Bachelor | 1 | 6% |
Other | 5 | 31% |
Unknown | 1 | 6% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 2 | 13% |
Nursing and Health Professions | 2 | 13% |
Computer Science | 2 | 13% |
Medicine and Dentistry | 2 | 13% |
Agricultural and Biological Sciences | 2 | 13% |
Other | 4 | 25% |
Unknown | 2 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 26 October 2021.
All research outputs
#13,030,117
of 23,310,485 outputs
Outputs from BMC Bioinformatics
#3,688
of 7,382 outputs
Outputs of similar age
#168,073
of 433,784 outputs
Outputs of similar age from BMC Bioinformatics
#86
of 163 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,382 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 48th percentile – i.e., 48% 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 433,784 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.
We're also able to compare this research output to 163 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.