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Mendeley readers
Attention Score in Context
| Title |
Tumor classification: molecular analysis meets Aristotle
|
|---|---|
| Published in |
BMC Cancer, March 2004
|
| DOI | 10.1186/1471-2407-4-10 |
| Pubmed ID | |
| Authors |
Jules J Berman |
| Abstract |
Traditionally, tumors have been classified by their morphologic appearances. Unfortunately, tumors with similar histologic features often follow different clinical courses or respond differently to chemotherapy. Limitations in the clinical utility of morphology-based tumor classifications have prompted a search for a new tumor classification based on molecular analysis. Gene expression array data and proteomic data from tumor samples will provide complex data that is unobtainable from morphologic examination alone. The growing question facing cancer researchers is, "How can we successfully integrate the molecular, morphologic and clinical characteristics of human cancer to produce a helpful tumor classification?" |
Mendeley readers
The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 1% |
| Brazil | 1 | 1% |
| United Kingdom | 1 | 1% |
| Canada | 1 | 1% |
| Egypt | 1 | 1% |
| Belgium | 1 | 1% |
| Unknown | 80 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 17% |
| Student > Master | 15 | 17% |
| Researcher | 11 | 13% |
| Student > Bachelor | 7 | 8% |
| Other | 7 | 8% |
| Other | 16 | 19% |
| Unknown | 15 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 22 | 26% |
| Medicine and Dentistry | 17 | 20% |
| Biochemistry, Genetics and Molecular Biology | 16 | 19% |
| Nursing and Health Professions | 4 | 5% |
| Computer Science | 3 | 3% |
| Other | 9 | 10% |
| Unknown | 15 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 December 2022.
All research outputs
#7,702,488
of 23,427,600 outputs
Outputs from BMC Cancer
#2,146
of 8,469 outputs
Outputs of similar age
#23,041
of 69,191 outputs
Outputs of similar age from BMC Cancer
#2
of 5 outputs
Altmetric has tracked 23,427,600 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,469 research outputs from this source. They receive a mean Attention Score of 4.4. This one has gotten more attention than average, scoring higher than 68% 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 69,191 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.