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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Mass Spectrometry-Based Proteomics
|
|---|---|
| Chapter number | 9 |
| Book title |
Fungal Genomics
|
| Published in |
Methods in molecular biology, January 2018
|
| DOI | 10.1007/978-1-4939-7804-5_9 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7803-8, 978-1-4939-7804-5
|
| Authors |
Marcos Rafael Di Falco, Di Falco, Marcos Rafael |
| Abstract |
Proteomics is the large-scale analysis of proteins rendered possible by modern mass spectrometry analysis methods capable of identifying thousands of peptides/proteins in a fast high-throughput manner. Here I describe protocols for the preparation of fungal culture protein samples for mass spectrometry-based proteomics analysis including protein sample cleanup, proteolytic digestion, LC-MS/MS separation, and database search protein identification. |
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 % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 1,210 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 15 | 1% |
| Germany | 6 | <1% |
| France | 4 | <1% |
| United Kingdom | 4 | <1% |
| Austria | 3 | <1% |
| Turkey | 2 | <1% |
| South Africa | 2 | <1% |
| India | 2 | <1% |
| Sweden | 2 | <1% |
| Other | 15 | 1% |
| Unknown | 1155 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 292 | 24% |
| Researcher | 224 | 19% |
| Student > Master | 151 | 12% |
| Student > Bachelor | 124 | 10% |
| Professor > Associate Professor | 62 | 5% |
| Other | 190 | 16% |
| Unknown | 167 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 410 | 34% |
| Biochemistry, Genetics and Molecular Biology | 229 | 19% |
| Chemistry | 143 | 12% |
| Medicine and Dentistry | 61 | 5% |
| Computer Science | 36 | 3% |
| Other | 139 | 11% |
| Unknown | 192 | 16% |
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 06 February 2019.
All research outputs
#17,978,863
of 23,088,369 outputs
Outputs from Methods in molecular biology
#7,313
of 13,206 outputs
Outputs of similar age
#310,675
of 442,629 outputs
Outputs of similar age from Methods in molecular biology
#869
of 1,499 outputs
Altmetric has tracked 23,088,369 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,206 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 39th percentile – i.e., 39% of its peers scored the same or lower than it.
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 442,629 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,499 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.