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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The protein translocation systems in plants – composition and variability on the example of Solanum lycopersicum
|
|---|---|
| Published in |
BMC Genomics, March 2013
|
| DOI | 10.1186/1471-2164-14-189 |
| Pubmed ID | |
| Authors |
Puneet Paul, Stefan Simm, Andreas Blaumeiser, Klaus-Dieter Scharf, Sotirios Fragkostefanakis, Oliver Mirus, Enrico Schleiff |
| Abstract |
Protein translocation across membranes is a central process in all cells. In the past decades the molecular composition of the translocation systems in the membranes of the endoplasmic reticulum, peroxisomes, mitochondria and chloroplasts have been established based on the analysis of model organisms. Today, these results have to be transferred to other plant species. We bioinformatically determined the inventory of putative translocation factors in tomato (Solanum lycopersicum) by orthologue search and domain architecture analyses. In addition, we investigated the diversity of such systems by comparing our findings to the model organisms Saccharomyces cerevisiae, Arabidopsis thaliana and 12 other plant species. |
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 % |
|---|---|---|
| Spain | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Chile | 2 | 3% |
| Italy | 1 | 2% |
| Germany | 1 | 2% |
| Unknown | 61 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 20 | 31% |
| Student > Ph. D. Student | 13 | 20% |
| Student > Bachelor | 11 | 17% |
| Student > Doctoral Student | 4 | 6% |
| Professor | 2 | 3% |
| Other | 8 | 12% |
| Unknown | 7 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 32 | 49% |
| Biochemistry, Genetics and Molecular Biology | 19 | 29% |
| Chemistry | 2 | 3% |
| Nursing and Health Professions | 1 | 2% |
| Psychology | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 9 | 14% |
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 19 March 2013.
All research outputs
#14,164,797
of 22,701,287 outputs
Outputs from BMC Genomics
#5,679
of 10,622 outputs
Outputs of similar age
#123,419
of 215,834 outputs
Outputs of similar age from BMC Genomics
#67
of 132 outputs
Altmetric has tracked 22,701,287 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,622 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 42nd percentile – i.e., 42% 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 215,834 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 132 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.