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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Protein abundance profiling of the Escherichia coli cytosol
|
|---|---|
| Published in |
BMC Genomics, February 2008
|
| DOI | 10.1186/1471-2164-9-102 |
| Pubmed ID | |
| Authors |
Yasushi Ishihama, Thorsten Schmidt, Juri Rappsilber, Matthias Mann, F Ulrich Hartl, Michael J Kerner, Dmitrij Frishman |
| Abstract |
Knowledge about the abundance of molecular components is an important prerequisite for building quantitative predictive models of cellular behavior. Proteins are central components of these models, since they carry out most of the fundamental processes in the cell. Thus far, protein concentrations have been difficult to measure on a large scale, but proteomic technologies have now advanced to a stage where this information becomes readily accessible. |
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 555 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 14 | 3% |
| Germany | 7 | 1% |
| United Kingdom | 3 | <1% |
| Australia | 2 | <1% |
| Sweden | 2 | <1% |
| Japan | 2 | <1% |
| Switzerland | 2 | <1% |
| Italy | 1 | <1% |
| Israel | 1 | <1% |
| Other | 6 | 1% |
| Unknown | 515 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 145 | 26% |
| Researcher | 130 | 23% |
| Student > Master | 65 | 12% |
| Student > Bachelor | 37 | 7% |
| Professor > Associate Professor | 28 | 5% |
| Other | 93 | 17% |
| Unknown | 57 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 242 | 44% |
| Biochemistry, Genetics and Molecular Biology | 126 | 23% |
| Chemistry | 34 | 6% |
| Engineering | 19 | 3% |
| Physics and Astronomy | 14 | 3% |
| Other | 58 | 10% |
| Unknown | 62 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 November 2023.
All research outputs
#4,180,008
of 25,374,647 outputs
Outputs from BMC Genomics
#1,510
of 11,244 outputs
Outputs of similar age
#14,706
of 95,092 outputs
Outputs of similar age from BMC Genomics
#4
of 38 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 86% 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 95,092 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.