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Mendeley readers
Attention Score in Context
| Title |
Automatic pulmonary fissure detection and lobe segmentation in CT chest images
|
|---|---|
| Published in |
BioMedical Engineering OnLine, May 2014
|
| DOI | 10.1186/1475-925x-13-59 |
| Pubmed ID | |
| Authors |
Shouliang Qi, Han J W van Triest, Yong Yue, Mingjie Xu, Yan Kang |
Mendeley readers
The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Iran, Islamic Republic of | 1 | 2% |
| United Kingdom | 1 | 2% |
| Portugal | 1 | 2% |
| China | 1 | 2% |
| Unknown | 49 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 21% |
| Student > Master | 10 | 19% |
| Researcher | 7 | 13% |
| Student > Bachelor | 4 | 8% |
| Other | 2 | 4% |
| Other | 4 | 8% |
| Unknown | 15 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 12 | 23% |
| Medicine and Dentistry | 9 | 17% |
| Computer Science | 7 | 13% |
| Physics and Astronomy | 4 | 8% |
| Agricultural and Biological Sciences | 2 | 4% |
| Other | 2 | 4% |
| Unknown | 17 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 October 2019.
All research outputs
#5,446,994
of 25,374,647 outputs
Outputs from BioMedical Engineering OnLine
#136
of 867 outputs
Outputs of similar age
#50,348
of 241,930 outputs
Outputs of similar age from BioMedical Engineering OnLine
#7
of 25 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 867 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done well, scoring higher than 82% 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 241,930 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 77% of its contemporaries.
We're also able to compare this research output to 25 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 72% of its contemporaries.