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Mendeley readers
Attention Score in Context
| Title |
Identification and characterization of subfamily-specific signatures in a large protein superfamily by a hidden Markov model approach
|
|---|---|
| Published in |
BMC Bioinformatics, January 2002
|
| DOI | 10.1186/1471-2105-3-1 |
| Pubmed ID | |
| Authors |
Kevin Truong, Mitsuhiko Ikura |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 3% |
| Greece | 1 | 3% |
| France | 1 | 3% |
| Unknown | 33 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 36% |
| Student > Ph. D. Student | 6 | 17% |
| Other | 3 | 8% |
| Professor > Associate Professor | 3 | 8% |
| Student > Bachelor | 2 | 6% |
| Other | 6 | 17% |
| Unknown | 3 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 15 | 42% |
| Biochemistry, Genetics and Molecular Biology | 6 | 17% |
| Computer Science | 4 | 11% |
| Engineering | 3 | 8% |
| Veterinary Science and Veterinary Medicine | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 4 | 11% |
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 09 September 2008.
All research outputs
#8,537,346
of 25,382,440 outputs
Outputs from BMC Bioinformatics
#3,234
of 7,692 outputs
Outputs of similar age
#32,642
of 131,175 outputs
Outputs of similar age from BMC Bioinformatics
#1
of 1 outputs
Altmetric has tracked 25,382,440 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 7,692 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has gotten more attention than average, scoring higher than 50% of its peers.
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 131,175 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them