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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Orthograph: a versatile tool for mapping coding nucleotide sequences to clusters of orthologous genes
|
|---|---|
| Published in |
BMC Bioinformatics, February 2017
|
| DOI | 10.1186/s12859-017-1529-8 |
| Pubmed ID | |
| Authors |
Malte Petersen, Karen Meusemann, Alexander Donath, Daniel Dowling, Shanlin Liu, Ralph S. Peters, Lars Podsiadlowski, Alexandros Vasilikopoulos, Xin Zhou, Bernhard Misof, Oliver Niehuis |
X Demographics
The data shown below were collected from the profiles of 14 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 | 3 | 21% |
| United States | 1 | 7% |
| Switzerland | 1 | 7% |
| Brazil | 1 | 7% |
| Unknown | 8 | 57% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 10 | 71% |
| Members of the public | 3 | 21% |
| Practitioners (doctors, other healthcare professionals) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 172 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 172 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 38 | 22% |
| Student > Master | 34 | 20% |
| Researcher | 20 | 12% |
| Student > Bachelor | 12 | 7% |
| Student > Postgraduate | 11 | 6% |
| Other | 26 | 15% |
| Unknown | 31 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 66 | 38% |
| Biochemistry, Genetics and Molecular Biology | 45 | 26% |
| Computer Science | 7 | 4% |
| Immunology and Microbiology | 7 | 4% |
| Engineering | 5 | 3% |
| Other | 7 | 4% |
| Unknown | 35 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 17 November 2017.
All research outputs
#4,978,221
of 25,837,817 outputs
Outputs from BMC Bioinformatics
#1,764
of 7,763 outputs
Outputs of similar age
#80,649
of 323,605 outputs
Outputs of similar age from BMC Bioinformatics
#32
of 151 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,763 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has done well, scoring higher than 76% 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 323,605 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 73% of its contemporaries.
We're also able to compare this research output to 151 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.