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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Mass Spectrometric Analysis of Proteins
|
|---|---|
| Chapter number | 25 |
| Book title |
Heterologous Gene Expression in E.coli
|
| Published in |
Methods in molecular biology, January 2017
|
| DOI | 10.1007/978-1-4939-6887-9_25 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-6885-5, 978-1-4939-6887-9, 978-1-4939-6885-5, 978-1-4939-6887-9
|
| Authors |
Rod Chalk |
| Editors |
Nicola A. Burgess-Brown |
| Abstract |
Mass spectrometry is a generic technique for the structural and functional analysis of purified proteins. Instrument capabilities and the possibilities of intact protein, peptide fragmentation and native analyses are discussed. Detailed experimental protocols are described for the most commonly applied techniques of protein identification, posttranslational modification (PTM) characterization, PTM mapping, native mass spectrometry, and analysis of membrane proteins using electrospray mass spectrometry. |
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 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 2 | 5% |
| Unknown | 36 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 24% |
| Researcher | 7 | 18% |
| Student > Master | 4 | 11% |
| Student > Bachelor | 4 | 11% |
| Student > Doctoral Student | 3 | 8% |
| Other | 8 | 21% |
| Unknown | 3 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 12 | 32% |
| Biochemistry, Genetics and Molecular Biology | 6 | 16% |
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 11% |
| Chemistry | 4 | 11% |
| Chemical Engineering | 2 | 5% |
| Other | 6 | 16% |
| Unknown | 4 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 22 February 2018.
All research outputs
#14,934,072
of 22,968,808 outputs
Outputs from Methods in molecular biology
#4,719
of 13,142 outputs
Outputs of similar age
#243,275
of 421,088 outputs
Outputs of similar age from Methods in molecular biology
#416
of 1,074 outputs
Altmetric has tracked 22,968,808 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,142 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 59% 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 421,088 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,074 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.