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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation
|
|---|---|
| Published in |
BMC Genomics, January 2020
|
| DOI | 10.1186/s12864-019-6413-7 |
| Pubmed ID | |
| Authors |
Davide Chicco, Giuseppe Jurman |
X Demographics
The data shown below were collected from the profiles of 141 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 | 24 | 17% |
| United Kingdom | 13 | 9% |
| India | 6 | 4% |
| Italy | 5 | 4% |
| Netherlands | 5 | 4% |
| Canada | 5 | 4% |
| Germany | 5 | 4% |
| Australia | 3 | 2% |
| Portugal | 2 | 1% |
| Other | 19 | 13% |
| Unknown | 54 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 83 | 59% |
| Scientists | 55 | 39% |
| Practitioners (doctors, other healthcare professionals) | 2 | 1% |
| Science communicators (journalists, bloggers, editors) | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 2,301 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2301 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 302 | 13% |
| Student > Master | 291 | 13% |
| Researcher | 203 | 9% |
| Student > Bachelor | 203 | 9% |
| Student > Doctoral Student | 77 | 3% |
| Other | 288 | 13% |
| Unknown | 937 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 391 | 17% |
| Engineering | 268 | 12% |
| Biochemistry, Genetics and Molecular Biology | 113 | 5% |
| Agricultural and Biological Sciences | 69 | 3% |
| Medicine and Dentistry | 64 | 3% |
| Other | 395 | 17% |
| Unknown | 1001 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 132. 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 01 January 2024.
All research outputs
#319,304
of 25,698,912 outputs
Outputs from BMC Genomics
#21
of 11,305 outputs
Outputs of similar age
#7,821
of 479,330 outputs
Outputs of similar age from BMC Genomics
#1
of 255 outputs
Altmetric has tracked 25,698,912 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,305 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 99% 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 479,330 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 255 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 99% of its contemporaries.