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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Deciphering the peptidome of urine from ovarian cancer patients and healthy controls
|
|---|---|
| Published in |
Clinical Proteomics, June 2014
|
| DOI | 10.1186/1559-0275-11-23 |
| Pubmed ID | |
| Authors |
Christopher R Smith, Ihor Batruch, Josep Miquel Bauça, Hari Kosanam, Julia Ridley, Marcus Q Bernardini, Felix Leung, Eleftherios P Diamandis, Vathany Kulasingam |
| Abstract |
Ovarian cancer (OvCa) is the most lethal gynecological malignancy. The emergence of high-throughput technologies, such as mass spectrometry, has allowed for a paradigm shift in the way we search for novel biomarkers. Urine-based peptidomic profiling is a novel approach that may result in the discovery of noninvasive biomarkers for diagnosing patients with OvCa. In this study, the peptidome of urine from 6 ovarian cancer patients and 6 healthy controls was deciphered. |
X Demographics
The data shown below were collected from the profiles of 4 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 | 1 | 25% |
| Spain | 1 | 25% |
| Canada | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 3% |
| Unknown | 32 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 24% |
| Student > Ph. D. Student | 4 | 12% |
| Student > Bachelor | 3 | 9% |
| Other | 3 | 9% |
| Student > Master | 3 | 9% |
| Other | 6 | 18% |
| Unknown | 6 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 6 | 18% |
| Agricultural and Biological Sciences | 5 | 15% |
| Medicine and Dentistry | 5 | 15% |
| Engineering | 2 | 6% |
| Chemistry | 2 | 6% |
| Other | 5 | 15% |
| Unknown | 8 | 24% |
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 05 May 2015.
All research outputs
#12,706,253
of 22,756,196 outputs
Outputs from Clinical Proteomics
#117
of 281 outputs
Outputs of similar age
#103,242
of 227,118 outputs
Outputs of similar age from Clinical Proteomics
#2
of 6 outputs
Altmetric has tracked 22,756,196 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 281 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has gotten more attention than average, scoring higher than 58% 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 227,118 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.