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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Exploring the HeLa Dark Mitochondrial Proteome
|
|---|---|
| Published in |
Frontiers in Cell and Developmental Biology, March 2020
|
| DOI | 10.3389/fcell.2020.00137 |
| Pubmed ID | |
| Authors |
Federica Marini, Victor Corasolla Carregari, Viviana Greco, Maurizio Ronci, Federica Iavarone, Silvia Persichilli, Massimo Castagnola, Andrea Urbani, Luisa Pieroni |
| Abstract |
In the framework of the Human Proteome Project initiative, we aim to improve mapping and characterization of mitochondrial proteome. In this work we implemented an experimental workflow, combining classical biochemical enrichments and mass spectrometry, to pursue a much deeper definition of mitochondrial proteome and possibly mine mitochondrial uncharacterized dark proteins. We fractionated in two compartments mitochondria enriched from HeLa cells in order to annotate 4230 proteins in both fraction by means of a multiple-enzyme digestion (trypsin, chymotrypsin and Glu-C) followed by mass spectrometry analysis using a combination of Data Dependent Acquisition (DDA) and Data Independent Acquisition (DIA). We detected 22 mitochondrial dark proteins not annotated for their function and we provide their relative abundance inside the mitochondrial organelle. Considering this work as a pilot study we expect that the same approach, in different biological system, could represent an advancement in the characterization of the human mitochondrial proteome providing uncharted ground to explore the mitonuclear phenotypic relationships. All spectra have been deposited to ProteomeXchange with PXD014201 and PXD014200 identifier. |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 14% |
| United States | 1 | 14% |
| Switzerland | 1 | 14% |
| United Kingdom | 1 | 14% |
| Unknown | 3 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 71% |
| Scientists | 1 | 14% |
| Science communicators (journalists, bloggers, editors) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 27% |
| Researcher | 3 | 14% |
| Student > Postgraduate | 3 | 14% |
| Student > Doctoral Student | 1 | 5% |
| Student > Master | 1 | 5% |
| Other | 3 | 14% |
| Unknown | 5 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 9 | 41% |
| Agricultural and Biological Sciences | 2 | 9% |
| Unspecified | 1 | 5% |
| Immunology and Microbiology | 1 | 5% |
| Neuroscience | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 7 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 21 March 2020.
All research outputs
#13,436,587
of 23,197,711 outputs
Outputs from Frontiers in Cell and Developmental Biology
#2,239
of 9,240 outputs
Outputs of similar age
#173,675
of 361,698 outputs
Outputs of similar age from Frontiers in Cell and Developmental Biology
#79
of 258 outputs
Altmetric has tracked 23,197,711 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,240 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 74% 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 361,698 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 51% of its contemporaries.
We're also able to compare this research output to 258 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 68% of its contemporaries.