| Title |
Automated acquisition of explainable knowledge from unannotated histopathology images
|
|---|---|
| Published in |
Nature Communications, December 2019
|
| DOI | 10.1038/s41467-019-13647-8 |
| Pubmed ID | |
| Authors |
Yoichiro Yamamoto, Toyonori Tsuzuki, Jun Akatsuka, Masao Ueki, Hiromu Morikawa, Yasushi Numata, Taishi Takahara, Takuji Tsuyuki, Kotaro Tsutsumi, Ryuto Nakazawa, Akira Shimizu, Ichiro Maeda, Shinichi Tsuchiya, Hiroyuki Kanno, Yukihiro Kondo, Manabu Fukumoto, Gen Tamiya, Naonori Ueda, Go Kimura |
X Demographics
The data shown below were collected from the profiles of 80 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 | 16 | 20% |
| Japan | 13 | 16% |
| Germany | 3 | 4% |
| France | 2 | 3% |
| United Kingdom | 2 | 3% |
| Nigeria | 1 | 1% |
| Australia | 1 | 1% |
| Serbia | 1 | 1% |
| India | 1 | 1% |
| Other | 6 | 8% |
| Unknown | 34 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 63 | 79% |
| Scientists | 11 | 14% |
| Science communicators (journalists, bloggers, editors) | 3 | 4% |
| Practitioners (doctors, other healthcare professionals) | 3 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 205 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 205 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 31 | 15% |
| Researcher | 28 | 14% |
| Student > Master | 26 | 13% |
| Student > Bachelor | 13 | 6% |
| Other | 10 | 5% |
| Other | 34 | 17% |
| Unknown | 63 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 34 | 17% |
| Computer Science | 32 | 16% |
| Engineering | 16 | 8% |
| Biochemistry, Genetics and Molecular Biology | 9 | 4% |
| Agricultural and Biological Sciences | 8 | 4% |
| Other | 36 | 18% |
| Unknown | 70 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 181. 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 07 November 2022.
All research outputs
#226,441
of 25,757,133 outputs
Outputs from Nature Communications
#3,269
of 58,345 outputs
Outputs of similar age
#5,346
of 481,319 outputs
Outputs of similar age from Nature Communications
#61
of 1,423 outputs
Altmetric has tracked 25,757,133 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 58,345 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 55.4. This one has done particularly well, scoring higher than 94% 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 481,319 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 1,423 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 95% of its contemporaries.