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Mendeley readers
Attention Score in Context
| Title |
Oncoproteomic profiling with antibody microarrays
|
|---|---|
| Published in |
Genome Medicine, July 2009
|
| DOI | 10.1186/gm68 |
| Pubmed ID | |
| Authors |
Mohamed SS Alhamdani, Christoph Schröder, Jörg D Hoheisel |
| Abstract |
The incidence of cancer and its associated mortality are increasing globally, indicating an urgent need to develop even more effective and sensitive sets of biomarkers that could help in early diagnosis and consequent intervention. Given that many cellular processes are carried out by proteins, cancer research has recently shifted toward an exploration of the full proteome for such discovery. Among the advanced methodologies that are being developed for analyzing the proteome, antibody microarrays have become a prominent tool for gathering the information required for a better understanding of disease biology, early detection, discrimination of tumors and monitoring of disease progression. Here, we review the technical aspects and challenges in the development and use of antibody microarray assays and examine recently reported applications in oncoproteomics. |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 2% |
| India | 1 | 2% |
| Germany | 1 | 2% |
| Unknown | 49 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 23% |
| Student > Master | 11 | 21% |
| Researcher | 10 | 19% |
| Student > Bachelor | 7 | 13% |
| Student > Doctoral Student | 2 | 4% |
| Other | 7 | 13% |
| Unknown | 3 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 23 | 44% |
| Medicine and Dentistry | 11 | 21% |
| Biochemistry, Genetics and Molecular Biology | 8 | 15% |
| Chemistry | 3 | 6% |
| Mathematics | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 4 | 8% |
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 11 February 2020.
All research outputs
#8,534,976
of 25,374,647 outputs
Outputs from Genome Medicine
#1,248
of 1,585 outputs
Outputs of similar age
#42,023
of 122,418 outputs
Outputs of similar age from Genome Medicine
#7
of 10 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,585 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.8. This one is in the 18th percentile – i.e., 18% 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 122,418 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 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.