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Attention Score in Context
| Title |
Glyco-centric lectin magnetic bead array (LeMBA) − proteomics dataset of human serum samples from healthy, Barrett׳s esophagus and esophageal adenocarcinoma individuals
|
|---|---|
| Published in |
Data in Brief, April 2016
|
| DOI | 10.1016/j.dib.2016.03.081 |
| Pubmed ID | |
| Authors |
Alok K. Shah, Kim-Anh Lê Cao, Eunju Choi, David Chen, Benoît Gautier, Derek Nancarrow, David C. Whiteman, Peter R. Baker, Karl R. Clauser, Robert J. Chalkley, Nicholas A. Saunders, Andrew P. Barbour, Virendra Joshi, Michelle M. Hill |
| Abstract |
This data article describes serum glycoprotein biomarker discovery and qualification datasets generated using lectin magnetic bead array (LeMBA) - mass spectrometry techniques, "Serum glycoprotein biomarker discovery and qualification pipeline reveals novel diagnostic biomarker candidates for esophageal adenocarcinoma" [1]. Serum samples collected from healthy, metaplastic Barrett׳s esophagus (BE) and esophageal adenocarcinoma (EAC) individuals were profiled for glycoprotein subsets via differential lectin binding. The biomarker discovery proteomics dataset consisting of 20 individual lectin pull-downs for 29 serum samples with a spiked-in internal standard chicken ovalbumin protein has been deposited in the PRIDE partner repository of the ProteomeXchange Consortium with the data set identifier PRIDE: PXD002442. Annotated MS/MS spectra for the peptide identifications can be viewed using MS-Viewer (〈http://prospector2.ucsf.edu/prospector/cgi-bin/msform.cgi?form=msviewer〉) using search key "jn7qafftux". The qualification dataset contained 6-lectin pulldown-coupled multiple reaction monitoring-mass spectrometry (MRM-MS) data for 41 protein candidates, from 60 serum samples. This dataset is available as a supplemental files with the original publication [1]. |
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 % |
|---|---|---|
| Unknown | 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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 1 | 8% |
| Unknown | 11 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 4 | 33% |
| Student > Ph. D. Student | 2 | 17% |
| Professor > Associate Professor | 2 | 17% |
| Researcher | 2 | 17% |
| Student > Doctoral Student | 1 | 8% |
| Other | 1 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 3 | 25% |
| Biochemistry, Genetics and Molecular Biology | 2 | 17% |
| Medicine and Dentistry | 2 | 17% |
| Engineering | 2 | 17% |
| Chemistry | 2 | 17% |
| Other | 1 | 8% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 14 July 2016.
All research outputs
#20,656,820
of 25,374,647 outputs
Outputs from Data in Brief
#2,355
of 3,678 outputs
Outputs of similar age
#234,497
of 314,727 outputs
Outputs of similar age from Data in Brief
#57
of 108 outputs
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