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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Not assessing the efficiency of multiple sequence alignment programs
|
|---|---|
| Published in |
Algorithms for Molecular Biology, July 2014
|
| DOI | 10.1186/1748-7188-9-18 |
| Pubmed ID | |
| Authors |
Andrew E Torda |
| Abstract |
One can search for messages in the digits of π or a Kazakhstan telephone book, but there may be hidden messages closer to home. A recent publication in this journal purportedly compared a set of multiple sequence alignment programs. The real purpose of the article may have been to remind readers how to present scientific data. |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 17% |
| United Kingdom | 1 | 17% |
| Unknown | 4 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 5 | 83% |
| Members of the public | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 114 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | <1% |
| Germany | 1 | <1% |
| Brazil | 1 | <1% |
| Unknown | 111 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 19 | 17% |
| Student > Ph. D. Student | 18 | 16% |
| Student > Master | 18 | 16% |
| Researcher | 13 | 11% |
| Student > Doctoral Student | 5 | 4% |
| Other | 19 | 17% |
| Unknown | 22 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 34 | 30% |
| Agricultural and Biological Sciences | 28 | 25% |
| Computer Science | 10 | 9% |
| Immunology and Microbiology | 5 | 4% |
| Environmental Science | 2 | 2% |
| Other | 11 | 10% |
| Unknown | 24 | 21% |
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 12 November 2014.
All research outputs
#7,444,781
of 22,758,248 outputs
Outputs from Algorithms for Molecular Biology
#73
of 264 outputs
Outputs of similar age
#73,489
of 227,325 outputs
Outputs of similar age from Algorithms for Molecular Biology
#1
of 5 outputs
Altmetric has tracked 22,758,248 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 264 research outputs from this source. They receive a mean Attention Score of 3.2. This one has gotten more attention than average, scoring higher than 68% 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 227,325 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.
We're also able to compare this research output to 5 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