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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Identification of a seven glycopeptide signature for malignant pleural mesothelioma in human serum by selected reaction monitoring
|
|---|---|
| Published in |
Clinical Proteomics, November 2013
|
| DOI | 10.1186/1559-0275-10-16 |
| Pubmed ID | |
| Authors |
Ferdinando Cerciello, Meena Choi, Annalisa Nicastri, Damaris Bausch-Fluck, Annemarie Ziegler, Olga Vitek, Emanuela Felley-Bosco, Rolf Stahel, Ruedi Aebersold, Bernd Wollscheid |
| Abstract |
Serum biomarkers can improve diagnosis and treatment of malignant pleural mesothelioma (MPM). However, the evaluation of potential new serum biomarker candidates is hampered by a lack of assay technologies for their clinical evaluation. Here we followed a hypothesis-driven targeted proteomics strategy for the identification and clinical evaluation of MPM candidate biomarkers in serum of patient cohorts. |
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 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Denmark | 1 | 2% |
| Switzerland | 1 | 2% |
| Unknown | 41 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 35% |
| Student > Ph. D. Student | 5 | 12% |
| Student > Doctoral Student | 3 | 7% |
| Professor > Associate Professor | 3 | 7% |
| Student > Master | 3 | 7% |
| Other | 5 | 12% |
| Unknown | 9 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 9 | 21% |
| Biochemistry, Genetics and Molecular Biology | 8 | 19% |
| Medicine and Dentistry | 6 | 14% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 7% |
| Computer Science | 3 | 7% |
| Other | 4 | 9% |
| Unknown | 10 | 23% |
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 20 December 2013.
All research outputs
#3,108,628
of 22,733,113 outputs
Outputs from Clinical Proteomics
#36
of 281 outputs
Outputs of similar age
#30,600
of 215,959 outputs
Outputs of similar age from Clinical Proteomics
#1
of 6 outputs
Altmetric has tracked 22,733,113 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 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 done well, scoring higher than 87% 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 215,959 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 85% 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 all of them