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Mendeley readers
Attention Score in Context
| Title |
Breast cancer subtyping from plasma proteins
|
|---|---|
| Published in |
BMC Medical Genomics, January 2013
|
| DOI | 10.1186/1755-8794-6-s1-s6 |
| Pubmed ID | |
| Authors |
Fan Zhang, Jake Y Chen |
| Abstract |
Early detection of breast cancer in blood is both appealing clinically and challenging technically due to the disease's illusive nature and heterogeneity. Today, even though major breast cancer subtypes have been characterized, i.e., luminal A, luminal B, HER2+, and basal-like, little is known about the heterogeneity of breast cancer in blood, which could help to discover minimally invasive protein biomarkers with which clinical researchers can detect, classify, and monitor different breast cancer subtypes. |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 3% |
| Denmark | 1 | 3% |
| Unknown | 38 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 33% |
| Student > Master | 7 | 18% |
| Student > Ph. D. Student | 5 | 13% |
| Student > Bachelor | 2 | 5% |
| Student > Doctoral Student | 2 | 5% |
| Other | 5 | 13% |
| Unknown | 6 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 15 | 38% |
| Medicine and Dentistry | 5 | 13% |
| Biochemistry, Genetics and Molecular Biology | 4 | 10% |
| Computer Science | 4 | 10% |
| Immunology and Microbiology | 2 | 5% |
| Other | 4 | 10% |
| Unknown | 6 | 15% |
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 09 June 2014.
All research outputs
#17,286,379
of 25,374,647 outputs
Outputs from BMC Medical Genomics
#1,315
of 2,444 outputs
Outputs of similar age
#191,815
of 288,060 outputs
Outputs of similar age from BMC Medical Genomics
#20
of 34 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,444 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 36th percentile – i.e., 36% 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 288,060 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
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 is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.