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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Mass-spectrometry-based draft of the human proteome
|
|---|---|
| Published in |
Nature, May 2014
|
| DOI | 10.1038/nature13319 |
| Pubmed ID | |
| Authors |
Mathias Wilhelm, Judith Schlegl, Hannes Hahne, Amin Moghaddas Gholami, Marcus Lieberenz, Mikhail M. Savitski, Emanuel Ziegler, Lars Butzmann, Siegfried Gessulat, Harald Marx, Toby Mathieson, Simone Lemeer, Karsten Schnatbaum, Ulf Reimer, Holger Wenschuh, Martin Mollenhauer, Julia Slotta-Huspenina, Joos-Hendrik Boese, Marcus Bantscheff, Anja Gerstmair, Franz Faerber, Bernhard Kuster |
| Abstract |
Proteomes are characterized by large protein-abundance differences, cell-type- and time-dependent expression patterns and post-translational modifications, all of which carry biological information that is not accessible by genomics or transcriptomics. Here we present a mass-spectrometry-based draft of the human proteome and a public, high-performance, in-memory database for real-time analysis of terabytes of big data, called ProteomicsDB. The information assembled from human tissues, cell lines and body fluids enabled estimation of the size of the protein-coding genome, and identified organ-specific proteins and a large number of translated lincRNAs (long intergenic non-coding RNAs). Analysis of messenger RNA and protein-expression profiles of human tissues revealed conserved control of protein abundance, and integration of drug-sensitivity data enabled the identification of proteins predicting resistance or sensitivity. The proteome profiles also hold considerable promise for analysing the composition and stoichiometry of protein complexes. ProteomicsDB thus enables navigation of proteomes, provides biological insight and fosters the development of proteomic technology. |
X Demographics
The data shown below were collected from the profiles of 131 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 | 24 | 18% |
| Spain | 14 | 11% |
| United Kingdom | 13 | 10% |
| Canada | 6 | 5% |
| Switzerland | 4 | 3% |
| Australia | 3 | 2% |
| Japan | 3 | 2% |
| Saudi Arabia | 2 | 2% |
| Finland | 2 | 2% |
| Other | 15 | 11% |
| Unknown | 45 | 34% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 81 | 62% |
| Scientists | 42 | 32% |
| Practitioners (doctors, other healthcare professionals) | 6 | 5% |
| Science communicators (journalists, bloggers, editors) | 2 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 2,304 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 37 | 2% |
| Germany | 30 | 1% |
| United Kingdom | 20 | <1% |
| Spain | 8 | <1% |
| Netherlands | 7 | <1% |
| Canada | 7 | <1% |
| France | 5 | <1% |
| Austria | 4 | <1% |
| Sweden | 4 | <1% |
| Other | 37 | 2% |
| Unknown | 2145 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 599 | 26% |
| Researcher | 548 | 24% |
| Student > Master | 212 | 9% |
| Student > Bachelor | 188 | 8% |
| Professor | 95 | 4% |
| Other | 361 | 16% |
| Unknown | 301 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 800 | 35% |
| Biochemistry, Genetics and Molecular Biology | 584 | 25% |
| Medicine and Dentistry | 138 | 6% |
| Chemistry | 125 | 5% |
| Computer Science | 78 | 3% |
| Other | 217 | 9% |
| Unknown | 362 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 315. 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 07 December 2021.
All research outputs
#109,225
of 25,837,817 outputs
Outputs from Nature
#7,436
of 98,779 outputs
Outputs of similar age
#811
of 245,030 outputs
Outputs of similar age from Nature
#71
of 1,014 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 98,779 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 102.5. This one has done particularly well, scoring higher than 92% 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 245,030 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 1,014 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.