| Title |
Protein deep sequencing applied to biobank samples from patients with pancreatic cancer
|
|---|---|
| Published in |
Journal of Cancer Research and Clinical Oncology, September 2014
|
| DOI | 10.1007/s00432-014-1817-x |
| Pubmed ID | |
| Authors |
Daniel Ansari, Roland Andersson, Monika P. Bauden, Bodil Andersson, Joanne B. Connolly, Charlotte Welinder, Agata Sasor, György Marko-Varga |
| Abstract |
Pancreatic cancer is commonly detected at advanced stages when the tumor is no longer amenable to surgical resection. Therefore, finding biomarkers for early stage disease is urgent. Here, we show that high-definition mass spectrometry (HDMS(E)) can be used to identify serum protein alterations associated with early stage pancreatic cancer. |
X Demographics
The data shown below were collected from the profiles of 14 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 7% |
| Spain | 1 | 7% |
| Unknown | 12 | 86% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 86% |
| Scientists | 2 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 8% |
| Netherlands | 1 | 2% |
| Germany | 1 | 2% |
| United Kingdom | 1 | 2% |
| Italy | 1 | 2% |
| Unknown | 41 | 84% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 29% |
| Student > Ph. D. Student | 10 | 20% |
| Student > Master | 7 | 14% |
| Student > Bachelor | 3 | 6% |
| Student > Doctoral Student | 2 | 4% |
| Other | 7 | 14% |
| Unknown | 6 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 10 | 20% |
| Biochemistry, Genetics and Molecular Biology | 6 | 12% |
| Medicine and Dentistry | 6 | 12% |
| Chemistry | 5 | 10% |
| Immunology and Microbiology | 5 | 10% |
| Other | 8 | 16% |
| Unknown | 9 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 16 March 2015.
All research outputs
#4,870,427
of 23,815,455 outputs
Outputs from Journal of Cancer Research and Clinical Oncology
#254
of 2,632 outputs
Outputs of similar age
#50,622
of 247,216 outputs
Outputs of similar age from Journal of Cancer Research and Clinical Oncology
#2
of 35 outputs
Altmetric has tracked 23,815,455 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,632 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done particularly well, scoring higher than 90% 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 247,216 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 79% of its contemporaries.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.