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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Automatic registration of multi-modal microscopy images for integrative analysis of prostate tissue sections
|
|---|---|
| Published in |
BMC Cancer, September 2013
|
| DOI | 10.1186/1471-2407-13-408 |
| Pubmed ID | |
| Authors |
Giuseppe Lippolis, Anders Edsjö, Leszek Helczynski, Anders Bjartell, Niels Chr Overgaard |
| Abstract |
Prostate cancer is one of the leading causes of cancer related deaths. For diagnosis, predicting the outcome of the disease, and for assessing potential new biomarkers, pathologists and researchers routinely analyze histological samples. Morphological and molecular information may be integrated by aligning microscopic histological images in a multiplex fashion. This process is usually time-consuming and results in intra- and inter-user variability. The aim of this study is to investigate the feasibility of using modern image analysis methods for automated alignment of microscopic images from differently stained adjacent paraffin sections from prostatic tissue specimens. |
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 % |
|---|---|---|
| Unknown | 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 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 4% |
| United States | 1 | 2% |
| Austria | 1 | 2% |
| Unknown | 46 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 26% |
| Student > Master | 8 | 16% |
| Researcher | 8 | 16% |
| Student > Bachelor | 5 | 10% |
| Student > Doctoral Student | 2 | 4% |
| Other | 6 | 12% |
| Unknown | 8 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 11 | 22% |
| Computer Science | 8 | 16% |
| Agricultural and Biological Sciences | 6 | 12% |
| Medicine and Dentistry | 6 | 12% |
| Biochemistry, Genetics and Molecular Biology | 3 | 6% |
| Other | 5 | 10% |
| Unknown | 11 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 29 June 2021.
All research outputs
#3,145,561
of 22,719,618 outputs
Outputs from BMC Cancer
#698
of 8,267 outputs
Outputs of similar age
#28,371
of 196,918 outputs
Outputs of similar age from BMC Cancer
#5
of 75 outputs
Altmetric has tracked 22,719,618 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,267 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done particularly well, scoring higher than 91% 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 196,918 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 85% of its contemporaries.
We're also able to compare this research output to 75 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.