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Mendeley readers
Attention Score in Context
| Title |
Accurate multiple sequence alignment of transmembrane proteins with PSI-Coffee
|
|---|---|
| Published in |
BMC Bioinformatics, March 2012
|
| DOI | 10.1186/1471-2105-13-s4-s1 |
| Pubmed ID | |
| Authors |
Jia-Ming Chang, Paolo Di Tommaso, Jean-François Taly, Cedric Notredame |
| Abstract |
Transmembrane proteins (TMPs) constitute about 20~30% of all protein coding genes. The relative lack of experimental structure has so far made it hard to develop specific alignment methods and the current state of the art (PRALINE™) only manages to recapitulate 50% of the positions in the reference alignments available from the BAliBASE2-ref7. |
Mendeley readers
The data shown below were compiled from readership statistics for 115 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 3 | 3% |
| Germany | 2 | 2% |
| France | 2 | 2% |
| India | 1 | <1% |
| Canada | 1 | <1% |
| Belarus | 1 | <1% |
| Mexico | 1 | <1% |
| Unknown | 104 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 32 | 28% |
| Researcher | 23 | 20% |
| Student > Master | 13 | 11% |
| Student > Bachelor | 9 | 8% |
| Other | 5 | 4% |
| Other | 14 | 12% |
| Unknown | 19 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 56 | 49% |
| Biochemistry, Genetics and Molecular Biology | 18 | 16% |
| Computer Science | 8 | 7% |
| Engineering | 4 | 3% |
| Medicine and Dentistry | 3 | 3% |
| Other | 6 | 5% |
| Unknown | 20 | 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 26 December 2023.
All research outputs
#8,759,452
of 25,837,817 outputs
Outputs from BMC Bioinformatics
#3,313
of 7,763 outputs
Outputs of similar age
#59,288
of 175,239 outputs
Outputs of similar age from BMC Bioinformatics
#29
of 80 outputs
Altmetric has tracked 25,837,817 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 7,763 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one is in the 49th percentile – i.e., 49% 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 175,239 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 80 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 51% of its contemporaries.