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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The Matthews correlation coefficient (MCC) is more reliable than balanced accuracy, bookmaker informedness, and markedness in two-class confusion matrix evaluation
|
|---|---|
| Published in |
BioData Mining, February 2021
|
| DOI | 10.1186/s13040-021-00244-z |
| Pubmed ID | |
| Authors |
Davide Chicco, Niklas Tötsch, Giuseppe Jurman |
X Demographics
The data shown below were collected from the profiles of 13 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 | 3 | 23% |
| Spain | 2 | 15% |
| United Kingdom | 1 | 8% |
| Australia | 1 | 8% |
| Italy | 1 | 8% |
| Canada | 1 | 8% |
| Unknown | 4 | 31% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 10 | 77% |
| Members of the public | 2 | 15% |
| Practitioners (doctors, other healthcare professionals) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 509 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 509 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 55 | 11% |
| Student > Ph. D. Student | 50 | 10% |
| Researcher | 44 | 9% |
| Student > Bachelor | 36 | 7% |
| Student > Doctoral Student | 18 | 4% |
| Other | 69 | 14% |
| Unknown | 237 | 47% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 76 | 15% |
| Engineering | 55 | 11% |
| Medicine and Dentistry | 16 | 3% |
| Chemistry | 16 | 3% |
| Biochemistry, Genetics and Molecular Biology | 14 | 3% |
| Other | 84 | 17% |
| Unknown | 248 | 49% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 12 September 2022.
All research outputs
#2,560,497
of 24,380,741 outputs
Outputs from BioData Mining
#50
of 316 outputs
Outputs of similar age
#71,092
of 515,173 outputs
Outputs of similar age from BioData Mining
#5
of 13 outputs
Altmetric has tracked 24,380,741 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 316 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has done well, scoring higher than 84% 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 515,173 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 13 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.