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Mendeley readers
Attention Score in Context
| Title |
i-Tracker: For quantitative proteomics using iTRAQ™
|
|---|---|
| Published in |
BMC Genomics, October 2005
|
| DOI | 10.1186/1471-2164-6-145 |
| Pubmed ID | |
| Authors |
Ian P Shadforth, Tom PJ Dunkley, Kathryn S Lilley, Conrad Bessant |
| Abstract |
iTRAQ technology for protein quantitation using mass spectrometry is a recent, powerful means of determining relative protein levels in up to four samples simultaneously. Although protein identification of samples generated using iTRAQ may be carried out using any current identification software, the quantitation calculations have been restricted to the ProQuant software supplied by Applied Biosciences. i-Tracker software has been developed to extract reporter ion peak ratios from non-centroided tandem MS peak lists in a format easily linked to the results of protein identification tools such as Mascot and Sequest. Such functionality is currently not provided by ProQuant, which is restricted to matching quantitative information to the peptide identifications from Applied Biosciences' Interrogator software. |
Mendeley readers
The data shown below were compiled from readership statistics for 214 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 2% |
| United Kingdom | 4 | 2% |
| South Africa | 4 | 2% |
| Germany | 3 | 1% |
| France | 2 | <1% |
| Netherlands | 1 | <1% |
| Italy | 1 | <1% |
| Mexico | 1 | <1% |
| Sweden | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 192 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 60 | 28% |
| Researcher | 59 | 28% |
| Student > Master | 34 | 16% |
| Professor > Associate Professor | 15 | 7% |
| Student > Doctoral Student | 9 | 4% |
| Other | 24 | 11% |
| Unknown | 13 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 115 | 54% |
| Biochemistry, Genetics and Molecular Biology | 31 | 14% |
| Chemistry | 24 | 11% |
| Computer Science | 8 | 4% |
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 2% |
| Other | 20 | 9% |
| Unknown | 12 | 6% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 October 2017.
All research outputs
#4,670,193
of 22,681,577 outputs
Outputs from BMC Genomics
#1,995
of 10,613 outputs
Outputs of similar age
#10,707
of 58,936 outputs
Outputs of similar age from BMC Genomics
#2
of 18 outputs
Altmetric has tracked 22,681,577 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,613 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 80% 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 58,936 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 72% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.