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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Protein docking prediction using predicted protein-protein interface
|
|---|---|
| Published in |
BMC Bioinformatics, January 2012
|
| DOI | 10.1186/1471-2105-13-7 |
| Pubmed ID | |
| Authors |
Bin Li, Daisuke Kihara |
| Abstract |
Many important cellular processes are carried out by protein complexes. To provide physical pictures of interacting proteins, many computational protein-protein prediction methods have been developed in the past. However, it is still difficult to identify the correct docking complex structure within top ranks among alternative conformations. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 2 | 40% |
| United States | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 2 | 2% |
| Australia | 1 | 1% |
| Brazil | 1 | 1% |
| Israel | 1 | 1% |
| United Kingdom | 1 | 1% |
| Canada | 1 | 1% |
| Spain | 1 | 1% |
| Japan | 1 | 1% |
| United States | 1 | 1% |
| Other | 0 | 0% |
| Unknown | 88 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 30 | 31% |
| Researcher | 18 | 18% |
| Student > Bachelor | 7 | 7% |
| Professor > Associate Professor | 7 | 7% |
| Student > Doctoral Student | 6 | 6% |
| Other | 24 | 24% |
| Unknown | 6 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 43 | 44% |
| Biochemistry, Genetics and Molecular Biology | 14 | 14% |
| Computer Science | 13 | 13% |
| Chemistry | 4 | 4% |
| Physics and Astronomy | 3 | 3% |
| Other | 11 | 11% |
| Unknown | 10 | 10% |
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 14 June 2012.
All research outputs
#14,539,149
of 25,784,004 outputs
Outputs from BMC Bioinformatics
#3,870
of 7,746 outputs
Outputs of similar age
#151,897
of 250,588 outputs
Outputs of similar age from BMC Bioinformatics
#44
of 84 outputs
Altmetric has tracked 25,784,004 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 7,746 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. 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 250,588 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 84 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.