| Title |
Automatic segmentation of adherent biological cell boundaries and nuclei from brightfield microscopy images
|
|---|---|
| Published in |
Machine Vision and Applications, May 2011
|
| DOI | 10.1007/s00138-011-0337-9 |
| Authors |
Rehan Ali, Mark Gooding, Tünde Szilágyi, Borivoj Vojnovic, Martin Christlieb, Michael Brady |
Mendeley readers
The data shown below were compiled from readership statistics for 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | <1% |
| Chile | 1 | <1% |
| South Africa | 1 | <1% |
| Slovenia | 1 | <1% |
| Denmark | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 106 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 33 | 29% |
| Researcher | 26 | 23% |
| Student > Master | 12 | 11% |
| Other | 10 | 9% |
| Student > Bachelor | 6 | 5% |
| Other | 15 | 13% |
| Unknown | 10 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 35 | 31% |
| Agricultural and Biological Sciences | 22 | 20% |
| Engineering | 14 | 13% |
| Biochemistry, Genetics and Molecular Biology | 13 | 12% |
| Physics and Astronomy | 6 | 5% |
| Other | 7 | 6% |
| Unknown | 15 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 31 October 2023.
All research outputs
#2,605,952
of 23,794,258 outputs
Outputs from Machine Vision and Applications
#8
of 551 outputs
Outputs of similar age
#11,940
of 112,268 outputs
Outputs of similar age from Machine Vision and Applications
#1
of 8 outputs
Altmetric has tracked 23,794,258 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 551 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done particularly well, scoring higher than 96% 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 112,268 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 88% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them