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Mendeley readers
Attention Score in Context
Title |
Investigation of ovarian cancer associated sialylation changes in N-linked glycopeptides by quantitative proteomics
|
---|---|
Published in |
Clinical Proteomics, August 2012
|
DOI | 10.1186/1559-0275-9-10 |
Pubmed ID | |
Authors |
Vivekananda Shetty, Julie Hafner, Punit Shah, Zacharie Nickens, Ramila Philip |
Abstract |
In approximately 80% of patients, ovarian cancer is diagnosed when the patient is already in the advanced stages of the disease. CA125 is currently used as the marker for ovarian cancer; however, it lacks specificity and sensitivity for detecting early stage disease. There is a critical unmet need for sensitive and specific routine screening tests for early diagnosis that can reduce ovarian cancer lethality by reliably detecting the disease at its earliest and treatable stages. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Italy | 1 | 3% |
Unknown | 30 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 9 | 29% |
Researcher | 8 | 26% |
Student > Bachelor | 3 | 10% |
Student > Master | 2 | 6% |
Student > Doctoral Student | 1 | 3% |
Other | 4 | 13% |
Unknown | 4 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 11 | 35% |
Biochemistry, Genetics and Molecular Biology | 7 | 23% |
Chemistry | 4 | 13% |
Medicine and Dentistry | 2 | 6% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
Other | 1 | 3% |
Unknown | 5 | 16% |
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 11 April 2023.
All research outputs
#3,490,139
of 25,809,966 outputs
Outputs from Clinical Proteomics
#37
of 346 outputs
Outputs of similar age
#22,934
of 181,086 outputs
Outputs of similar age from Clinical Proteomics
#1
of 4 outputs
Altmetric has tracked 25,809,966 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 346 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has done well, scoring higher than 89% 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 181,086 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 86% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them