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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Automated hierarchical classification of protein domain subfamilies based on functionally-divergent residue signatures
|
|---|---|
| Published in |
BMC Bioinformatics, June 2012
|
| DOI | 10.1186/1471-2105-13-144 |
| Pubmed ID | |
| Authors |
Andrew F Neuwald, Christopher J Lanczycki, Aron Marchler-Bauer |
| Abstract |
The NCBI Conserved Domain Database (CDD) consists of a collection of multiple sequence alignments of protein domains that are at various stages of being manually curated into evolutionary hierarchies based on conserved and divergent sequence and structural features. These domain models are annotated to provide insights into the relationships between sequence, structure and function via web-based BLAST searches. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| United States | 1 | 2% |
| India | 1 | 2% |
| Portugal | 1 | 2% |
| Unknown | 38 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 24% |
| Researcher | 10 | 24% |
| Student > Bachelor | 4 | 10% |
| Professor | 4 | 10% |
| Student > Master | 4 | 10% |
| Other | 7 | 17% |
| Unknown | 3 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 18 | 43% |
| Biochemistry, Genetics and Molecular Biology | 9 | 21% |
| Computer Science | 6 | 14% |
| Engineering | 3 | 7% |
| Business, Management and Accounting | 1 | 2% |
| Other | 2 | 5% |
| Unknown | 3 | 7% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 27 June 2012.
All research outputs
#18,309,495
of 22,669,724 outputs
Outputs from BMC Bioinformatics
#6,285
of 7,247 outputs
Outputs of similar age
#126,321
of 164,330 outputs
Outputs of similar age from BMC Bioinformatics
#83
of 103 outputs
Altmetric has tracked 22,669,724 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,247 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 5th percentile – i.e., 5% 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 164,330 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 103 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.