| Title |
Machine learning approaches for pathologic diagnosis
|
|---|---|
| Published in |
Virchows Archiv, June 2019
|
| DOI | 10.1007/s00428-019-02594-w |
| Pubmed ID | |
| Authors |
Daisuke Komura, Shumpei Ishikawa |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 5 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 148 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 148 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 10% |
| Student > Master | 13 | 9% |
| Student > Ph. D. Student | 10 | 7% |
| Student > Doctoral Student | 10 | 7% |
| Student > Bachelor | 10 | 7% |
| Other | 30 | 20% |
| Unknown | 60 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 26 | 18% |
| Computer Science | 18 | 12% |
| Engineering | 7 | 5% |
| Biochemistry, Genetics and Molecular Biology | 5 | 3% |
| Economics, Econometrics and Finance | 4 | 3% |
| Other | 25 | 17% |
| Unknown | 63 | 43% |
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 23 June 2019.
All research outputs
#15,120,836
of 25,837,817 outputs
Outputs from Virchows Archiv
#1,141
of 2,315 outputs
Outputs of similar age
#180,592
of 370,022 outputs
Outputs of similar age from Virchows Archiv
#10
of 31 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,315 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 49th percentile – i.e., 49% 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 370,022 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 50% of its contemporaries.
We're also able to compare this research output to 31 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 67% of its contemporaries.