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X Demographics
Mendeley readers
Attention Score in Context
| Title |
FastaValidator: an open-source Java library to parse and validate FASTA formatted sequences
|
|---|---|
| Published in |
BMC Research Notes, June 2014
|
| DOI | 10.1186/1756-0500-7-365 |
| Pubmed ID | |
| Authors |
Jost Waldmann, Jan Gerken, Wolfgang Hankeln, Timmy Schweer, Frank Oliver Glöckner |
| Abstract |
Advances in sequencing technologies challenge the efficient importing and validation of FASTA formattedsequence data which is still a prerequisite for most bioinformatic tools and pipelines. Comparativeanalysis of commonly used Bio*-frameworks (BioPerl, BioJava and Biopython) shows thattheir scalability and accuracy is hampered. |
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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 8% |
| Germany | 1 | 8% |
| Unknown | 10 | 83% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 2 | 17% |
| Researcher | 2 | 17% |
| Student > Ph. D. Student | 1 | 8% |
| Other | 1 | 8% |
| Student > Doctoral Student | 1 | 8% |
| Other | 1 | 8% |
| Unknown | 4 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 5 | 42% |
| Engineering | 2 | 17% |
| Computer Science | 1 | 8% |
| Biochemistry, Genetics and Molecular Biology | 1 | 8% |
| Unknown | 3 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 12 July 2015.
All research outputs
#14,781,727
of 22,757,090 outputs
Outputs from BMC Research Notes
#2,121
of 4,262 outputs
Outputs of similar age
#127,249
of 228,190 outputs
Outputs of similar age from BMC Research Notes
#46
of 91 outputs
Altmetric has tracked 22,757,090 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,262 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 46th percentile – i.e., 46% 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 228,190 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 91 others from the same source and published within six weeks on either side of this one. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.