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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The Matthews correlation coefficient (MCC) should replace the ROC AUC as the standard metric for assessing binary classification
|
|---|---|
| Published in |
BioData Mining, February 2023
|
| DOI | 10.1186/s13040-023-00322-4 |
| Pubmed ID | |
| Authors |
Davide Chicco, Giuseppe Jurman |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 1 | 33% |
| Canada | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 143 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 143 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 15 | 10% |
| Researcher | 14 | 10% |
| Unspecified | 12 | 8% |
| Student > Ph. D. Student | 12 | 8% |
| Student > Bachelor | 9 | 6% |
| Other | 14 | 10% |
| Unknown | 67 | 47% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 21 | 15% |
| Unspecified | 12 | 8% |
| Engineering | 9 | 6% |
| Medicine and Dentistry | 8 | 6% |
| Biochemistry, Genetics and Molecular Biology | 4 | 3% |
| Other | 19 | 13% |
| Unknown | 70 | 49% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 March 2023.
All research outputs
#6,368,979
of 23,495,502 outputs
Outputs from BioData Mining
#130
of 313 outputs
Outputs of similar age
#101,849
of 394,040 outputs
Outputs of similar age from BioData Mining
#2
of 9 outputs
Altmetric has tracked 23,495,502 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 313 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has gotten more attention than average, scoring higher than 56% 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 394,040 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 74% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.