You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Automatic segmentation of hepatic metastases on DWI images based on a deep learning method: assessment of tumor treatment response according to the RECIST 1.1 criteria
|
|---|---|
| Published in |
BMC Cancer, December 2022
|
| DOI | 10.1186/s12885-022-10366-0 |
| Pubmed ID | |
| Authors |
Xiang Liu, Rui Wang, Zemin Zhu, Kexin Wang, Yue Gao, Jialun Li, Yaofeng Zhang, Xiangpeng Wang, Xiaodong Zhang, Xiaoying Wang |
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% |
| Netherlands | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 14 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 2 | 14% |
| Researcher | 2 | 14% |
| Librarian | 1 | 7% |
| Unspecified | 1 | 7% |
| Student > Ph. D. Student | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 7 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 3 | 21% |
| Nursing and Health Professions | 2 | 14% |
| Medicine and Dentistry | 1 | 7% |
| Unspecified | 1 | 7% |
| Unknown | 7 | 50% |
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 08 December 2022.
All research outputs
#18,733,166
of 23,885,338 outputs
Outputs from BMC Cancer
#5,173
of 8,508 outputs
Outputs of similar age
#303,883
of 445,383 outputs
Outputs of similar age from BMC Cancer
#93
of 178 outputs
Altmetric has tracked 23,885,338 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,508 research outputs from this source. They receive a mean Attention Score of 4.5. This one is in the 33rd percentile – i.e., 33% 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 445,383 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 178 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.