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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Computer vision for microscopy diagnosis of malaria
|
|---|---|
| Published in |
Malaria Journal, July 2009
|
| DOI | 10.1186/1475-2875-8-153 |
| Pubmed ID | |
| Authors |
F Boray Tek, Andrew G Dempster, Izzet Kale |
| Abstract |
This paper reviews computer vision and image analysis studies aiming at automated diagnosis or screening of malaria infection in microscope images of thin blood film smears. Existing works interpret the diagnosis problem differently or propose partial solutions to the problem. A critique of these works is furnished. In addition, a general pattern recognition framework to perform diagnosis, which includes image acquisition, pre-processing, segmentation, and pattern classification components, is described. The open problems are addressed and a perspective of the future work for realization of automated microscopy diagnosis of malaria is provided. |
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 % |
|---|---|---|
| Australia | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 164 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Denmark | 1 | <1% |
| Belgium | 1 | <1% |
| Canada | 1 | <1% |
| Brazil | 1 | <1% |
| Unknown | 160 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 35 | 21% |
| Student > Master | 25 | 15% |
| Student > Bachelor | 20 | 12% |
| Researcher | 14 | 9% |
| Student > Postgraduate | 6 | 4% |
| Other | 25 | 15% |
| Unknown | 39 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 41 | 25% |
| Engineering | 36 | 22% |
| Medicine and Dentistry | 14 | 9% |
| Agricultural and Biological Sciences | 8 | 5% |
| Biochemistry, Genetics and Molecular Biology | 5 | 3% |
| Other | 16 | 10% |
| Unknown | 44 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 February 2019.
All research outputs
#2,355,451
of 22,668,244 outputs
Outputs from Malaria Journal
#527
of 5,540 outputs
Outputs of similar age
#8,538
of 110,157 outputs
Outputs of similar age from Malaria Journal
#4
of 34 outputs
Altmetric has tracked 22,668,244 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,540 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one has done particularly well, scoring higher than 90% 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 110,157 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.