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Mendeley readers
Attention Score in Context
Title |
Comparison of histopathology to gene expression profiling for the diagnosis of metastatic cancer
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Published in |
Diagnostic Pathology, August 2012
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DOI | 10.1186/1746-1596-7-110 |
Pubmed ID | |
Authors |
Anand Kulkarni, Raji Pillai, Ashley M Ezekiel, W David Henner, Charles R Handorf |
Abstract |
Determining the primary site of metastatic cancer with confidence can be challenging. Pathologists commonly use a battery of immunohistochemical (IHC) stains to determine the primary site. Gene expression profiling (GEP) has found increasing use, particularly in the most difficult cases. In this pilot study, a direct comparison between GEP and IHC-guided methods was performed. |
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 % |
---|---|---|
Brazil | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Denmark | 1 | 5% |
Canada | 1 | 5% |
Unknown | 17 | 89% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 5 | 26% |
Student > Postgraduate | 4 | 21% |
Researcher | 3 | 16% |
Student > Ph. D. Student | 2 | 11% |
Professor > Associate Professor | 2 | 11% |
Other | 1 | 5% |
Unknown | 2 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 4 | 21% |
Agricultural and Biological Sciences | 3 | 16% |
Computer Science | 3 | 16% |
Engineering | 2 | 11% |
Psychology | 1 | 5% |
Other | 3 | 16% |
Unknown | 3 | 16% |
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 23 August 2012.
All research outputs
#17,664,478
of 22,675,759 outputs
Outputs from Diagnostic Pathology
#671
of 1,118 outputs
Outputs of similar age
#124,955
of 169,206 outputs
Outputs of similar age from Diagnostic Pathology
#13
of 25 outputs
Altmetric has tracked 22,675,759 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,118 research outputs from this source. They receive a mean Attention Score of 2.7. This one is in the 32nd percentile – i.e., 32% 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 169,206 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
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 is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.