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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Segmentation of lung parenchyma in CT images using CNN trained with the clustering algorithm generated dataset
|
|---|---|
| Published in |
BioMedical Engineering OnLine, January 2019
|
| DOI | 10.1186/s12938-018-0619-9 |
| Pubmed ID | |
| Authors |
Mingjie Xu, Shouliang Qi, Yong Yue, Yueyang Teng, Lisheng Xu, Yudong Yao, Wei Qian |
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 % |
|---|---|---|
| Netherlands | 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 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 107 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 18 | 17% |
| Student > Ph. D. Student | 13 | 12% |
| Researcher | 9 | 8% |
| Student > Bachelor | 7 | 7% |
| Lecturer | 6 | 6% |
| Other | 18 | 17% |
| Unknown | 36 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 25 | 23% |
| Engineering | 22 | 21% |
| Medicine and Dentistry | 9 | 8% |
| Nursing and Health Professions | 2 | 2% |
| Biochemistry, Genetics and Molecular Biology | 2 | 2% |
| Other | 6 | 6% |
| Unknown | 41 | 38% |
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 02 July 2019.
All research outputs
#20,547,611
of 23,120,280 outputs
Outputs from BioMedical Engineering OnLine
#693
of 826 outputs
Outputs of similar age
#372,356
of 438,184 outputs
Outputs of similar age from BioMedical Engineering OnLine
#13
of 16 outputs
Altmetric has tracked 23,120,280 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 826 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 1st percentile – i.e., 1% 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 438,184 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% 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 is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.