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Mendeley readers
Attention Score in Context
| Title |
Querying the public databases for sequences using complex keywords contained in the feature lines
|
|---|---|
| Published in |
BMC Bioinformatics, January 2006
|
| DOI | 10.1186/1471-2105-7-45 |
| Pubmed ID | |
| Authors |
Olivier Croce, Michaël Lamarre, Richard Christen |
| Abstract |
High throughput technologies often require the retrieval of large data sets of sequences. Retrieval of EMBL or GenBank entries using keywords is easy using tools such as ACNUC, Entrez or SRS, but has some limitations, in particular when querying with complex keywords. |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 5% |
| Norway | 1 | 5% |
| Brazil | 1 | 5% |
| Czechia | 1 | 5% |
| Japan | 1 | 5% |
| Unknown | 16 | 76% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 38% |
| Student > Postgraduate | 3 | 14% |
| Other | 2 | 10% |
| Student > Doctoral Student | 2 | 10% |
| Student > Ph. D. Student | 2 | 10% |
| Other | 3 | 14% |
| Unknown | 1 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 10 | 48% |
| Computer Science | 6 | 29% |
| Biochemistry, Genetics and Molecular Biology | 2 | 10% |
| Mathematics | 1 | 5% |
| Medicine and Dentistry | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 1 | 5% |
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 30 March 2021.
All research outputs
#7,452,489
of 22,783,848 outputs
Outputs from BMC Bioinformatics
#3,021
of 7,279 outputs
Outputs of similar age
#40,624
of 154,622 outputs
Outputs of similar age from BMC Bioinformatics
#23
of 49 outputs
Altmetric has tracked 22,783,848 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,279 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. 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 154,622 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 49 others from the same source and published within six weeks on either side of this one. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.