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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Novel Proteomics-Based Clinical Diagnostics Technology Identifies Heterogeneity in Activated Signaling Pathways in Gastric Cancers
|
|---|---|
| Published in |
PLOS ONE, January 2013
|
| DOI | 10.1371/journal.pone.0054644 |
| Pubmed ID | |
| Authors |
Jeeyun Lee, Sung Kim, Phillip Kim, Xinjun Liu, Tani Lee, Kyoung-Mee Kim, In-Gu Do, Joon Oh Park, Hoon Park, Jiryeon Jang, Nicholas Hoe, Gulia Harvie, Anne Kuller, Anjali Jain, Gary Meyer, Glen Leesman, Young Suk Park, Min Gew Choi, Tae Sung Sohn, Jae Moon Bae, Ho Yeong Lim, Sharat Singh, Won Ki Kang |
| Abstract |
The aim of this study was to utilize the proteomics-based Collaborative Enzyme Enhanced Reactive (CEER) immunoassay to investigate protein tyrosine phosphorylations as diagnostic markers in gastric cancers (GCs). |
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 % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 2% |
| Unknown | 45 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 28% |
| Student > Ph. D. Student | 6 | 13% |
| Student > Postgraduate | 5 | 11% |
| Student > Master | 4 | 9% |
| Student > Bachelor | 3 | 7% |
| Other | 7 | 15% |
| Unknown | 8 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 16 | 35% |
| Biochemistry, Genetics and Molecular Biology | 9 | 20% |
| Medicine and Dentistry | 7 | 15% |
| Psychology | 2 | 4% |
| Immunology and Microbiology | 1 | 2% |
| Other | 3 | 7% |
| Unknown | 8 | 17% |
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 12 September 2018.
All research outputs
#3,048,041
of 22,693,205 outputs
Outputs from PLOS ONE
#40,015
of 193,724 outputs
Outputs of similar age
#33,417
of 280,879 outputs
Outputs of similar age from PLOS ONE
#884
of 5,029 outputs
Altmetric has tracked 22,693,205 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 193,724 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has done well, scoring higher than 79% 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 280,879 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 88% of its contemporaries.
We're also able to compare this research output to 5,029 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.