| Title |
Diagnosis using deep-learning artificial intelligence based on the endocytoscopic observation of the esophagus
|
|---|---|
| Published in |
Esophagus, December 2018
|
| DOI | 10.1007/s10388-018-0651-7 |
| Pubmed ID | |
| Authors |
Youichi Kumagai, Kaiyo Takubo, Kenro Kawada, Kazuharu Aoyama, Yuma Endo, Tsuyoshi Ozawa, Toshiaki Hirasawa, Toshiyuki Yoshio, Soichiro Ishihara, Mitsuhiro Fujishiro, Jun-ichi Tamaru, Erito Mochiki, Hideyuki Ishida, Tomohiro Tada |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 78 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 13% |
| Student > Bachelor | 8 | 10% |
| Other | 7 | 9% |
| Student > Ph. D. Student | 6 | 8% |
| Professor > Associate Professor | 5 | 6% |
| Other | 9 | 12% |
| Unknown | 33 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 17% |
| Engineering | 8 | 10% |
| Computer Science | 7 | 9% |
| Arts and Humanities | 2 | 3% |
| Business, Management and Accounting | 1 | 1% |
| Other | 9 | 12% |
| Unknown | 38 | 49% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 30 July 2020.
All research outputs
#2,857,665
of 23,122,481 outputs
Outputs from Esophagus
#5
of 131 outputs
Outputs of similar age
#66,524
of 436,743 outputs
Outputs of similar age from Esophagus
#1
of 3 outputs
Altmetric has tracked 23,122,481 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 131 research outputs from this source. They receive a mean Attention Score of 2.4. This one has done particularly well, scoring higher than 96% 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 436,743 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 84% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them