| Title |
Mammographically occult breast cancers detected with AI-based diagnosis supporting software: clinical and histopathologic characteristics
|
|---|---|
| Published in |
Insights into Imaging, March 2022
|
| DOI | 10.1186/s13244-022-01183-x |
| Pubmed ID | |
| Authors |
Hee Jeong Kim, Hak Hee Kim, Ki Hwan Kim, Woo Jung Choi, Eun Young Chae, Hee Jung Shin, Joo Hee Cha, Woo Hyun Shim |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 1 | 17% |
| Austria | 1 | 17% |
| Japan | 1 | 17% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 50% |
| Scientists | 2 | 33% |
| Practitioners (doctors, other healthcare professionals) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 31 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 6% |
| Researcher | 2 | 6% |
| Unspecified | 1 | 3% |
| Student > Bachelor | 1 | 3% |
| Other | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 22 | 71% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 13% |
| Computer Science | 3 | 10% |
| Unspecified | 1 | 3% |
| Economics, Econometrics and Finance | 1 | 3% |
| Engineering | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 21 | 68% |
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 27 October 2023.
All research outputs
#8,244,216
of 24,692,658 outputs
Outputs from Insights into Imaging
#498
of 1,126 outputs
Outputs of similar age
#161,048
of 433,168 outputs
Outputs of similar age from Insights into Imaging
#22
of 54 outputs
Altmetric has tracked 24,692,658 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,126 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one has gotten more attention than average, scoring higher than 53% 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 433,168 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 60% of its contemporaries.
We're also able to compare this research output to 54 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 59% of its contemporaries.