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Mendeley readers
Attention Score in Context
| Title |
Transmembrane Topology and Signal Peptide Prediction Using Dynamic Bayesian Networks
|
|---|---|
| Published in |
PLoS Computational Biology, November 2008
|
| DOI | 10.1371/journal.pcbi.1000213 |
| Pubmed ID | |
| Authors |
Sheila M. Reynolds, Lukas Käll, Michael E. Riffle, Jeff A. Bilmes, William Stafford Noble |
Mendeley readers
The data shown below were compiled from readership statistics for 224 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 3 | 1% |
| Denmark | 3 | 1% |
| United States | 3 | 1% |
| Israel | 2 | <1% |
| Australia | 1 | <1% |
| Argentina | 1 | <1% |
| Malaysia | 1 | <1% |
| Greece | 1 | <1% |
| United Kingdom | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 208 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 60 | 27% |
| Researcher | 37 | 17% |
| Student > Master | 26 | 12% |
| Student > Bachelor | 24 | 11% |
| Professor > Associate Professor | 11 | 5% |
| Other | 33 | 15% |
| Unknown | 33 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 83 | 37% |
| Biochemistry, Genetics and Molecular Biology | 53 | 24% |
| Computer Science | 13 | 6% |
| Immunology and Microbiology | 8 | 4% |
| Engineering | 6 | 3% |
| Other | 22 | 10% |
| Unknown | 39 | 17% |
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 24 October 2017.
All research outputs
#8,554,930
of 25,420,980 outputs
Outputs from PLoS Computational Biology
#5,645
of 8,977 outputs
Outputs of similar age
#37,033
of 104,472 outputs
Outputs of similar age from PLoS Computational Biology
#26
of 47 outputs
Altmetric has tracked 25,420,980 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,977 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one is in the 33rd percentile – i.e., 33% 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 104,472 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.