| Title |
Detection of gastritis by a deep convolutional neural network from double-contrast upper gastrointestinal barium X-ray radiography
|
|---|---|
| Published in |
Journal of Gastroenterology, October 2018
|
| DOI | 10.1007/s00535-018-1514-7 |
| Pubmed ID | |
| Authors |
Ren Togo, Nobutake Yamamichi, Katsuhiro Mabe, Yu Takahashi, Chihiro Takeuchi, Mototsugu Kato, Naoya Sakamoto, Kenta Ishihara, Takahiro Ogawa, Miki Haseyama |
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 % |
|---|---|---|
| United States | 1 | 33% |
| Hungary | 1 | 33% |
| Netherlands | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 42 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 12% |
| Student > Doctoral Student | 5 | 12% |
| Student > Bachelor | 4 | 10% |
| Student > Ph. D. Student | 3 | 7% |
| Unspecified | 2 | 5% |
| Other | 7 | 17% |
| Unknown | 16 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 26% |
| Computer Science | 3 | 7% |
| Unspecified | 2 | 5% |
| Engineering | 2 | 5% |
| Business, Management and Accounting | 2 | 5% |
| Other | 5 | 12% |
| Unknown | 17 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 16 October 2018.
All research outputs
#15,546,615
of 23,105,443 outputs
Outputs from Journal of Gastroenterology
#750
of 1,107 outputs
Outputs of similar age
#215,785
of 344,075 outputs
Outputs of similar age from Journal of Gastroenterology
#5
of 16 outputs
Altmetric has tracked 23,105,443 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,107 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 25th percentile – i.e., 25% 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 344,075 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 16 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 56% of its contemporaries.