| Title |
PupDB: a database of pupylated proteins
|
|---|---|
| Published in |
BMC Bioinformatics, March 2012
|
| DOI | 10.1186/1471-2105-13-40 |
| Pubmed ID | |
| Authors |
Chun-Wei Tung |
| Abstract |
Prokaryotic ubiquitin-like protein (Pup), the firstly identified post-translational protein modifier in prokaryotes, is an important signal for the selective degradation of proteins. Recently, large-scale proteomics technology has been applied to identify a large number of pupylated proteins. The development of a database for managing pupylated proteins and pupylation sites is important for further analyses. |
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 | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 2 | 5% |
| United Kingdom | 1 | 3% |
| India | 1 | 3% |
| Taiwan | 1 | 3% |
| Unknown | 32 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 41% |
| Researcher | 5 | 14% |
| Other | 2 | 5% |
| Student > Bachelor | 2 | 5% |
| Professor > Associate Professor | 2 | 5% |
| Other | 5 | 14% |
| Unknown | 6 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 13 | 35% |
| Biochemistry, Genetics and Molecular Biology | 6 | 16% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 5% |
| Chemical Engineering | 2 | 5% |
| Computer Science | 2 | 5% |
| Other | 4 | 11% |
| Unknown | 8 | 22% |
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 23 April 2013.
All research outputs
#15,243,120
of 22,664,644 outputs
Outputs from BMC Bioinformatics
#5,359
of 7,247 outputs
Outputs of similar age
#101,283
of 158,022 outputs
Outputs of similar age from BMC Bioinformatics
#50
of 65 outputs
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