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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Fast and sensitive protein alignment using DIAMOND
|
|---|---|
| Published in |
Nature Methods, November 2014
|
| DOI | 10.1038/nmeth.3176 |
| Pubmed ID | |
| Authors |
Benjamin Buchfink, Chao Xie, Daniel H Huson |
X Demographics
The data shown below were collected from the profiles of 79 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 17 | 22% |
| United Kingdom | 8 | 10% |
| Germany | 5 | 6% |
| Japan | 4 | 5% |
| Switzerland | 3 | 4% |
| India | 2 | 3% |
| Canada | 2 | 3% |
| Norway | 1 | 1% |
| Ireland | 1 | 1% |
| Other | 7 | 9% |
| Unknown | 29 | 37% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 40 | 51% |
| Members of the public | 39 | 49% |
Mendeley readers
The data shown below were compiled from readership statistics for 4,209 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 21 | <1% |
| Germany | 13 | <1% |
| Brazil | 9 | <1% |
| France | 6 | <1% |
| United Kingdom | 6 | <1% |
| Australia | 4 | <1% |
| Sweden | 4 | <1% |
| Canada | 4 | <1% |
| Belgium | 3 | <1% |
| Other | 21 | <1% |
| Unknown | 4118 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 935 | 22% |
| Researcher | 643 | 15% |
| Student > Master | 597 | 14% |
| Student > Bachelor | 375 | 9% |
| Student > Doctoral Student | 203 | 5% |
| Other | 493 | 12% |
| Unknown | 963 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 1177 | 28% |
| Biochemistry, Genetics and Molecular Biology | 932 | 22% |
| Environmental Science | 209 | 5% |
| Immunology and Microbiology | 196 | 5% |
| Computer Science | 162 | 4% |
| Other | 401 | 10% |
| Unknown | 1132 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 103. 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 14 March 2024.
All research outputs
#415,500
of 25,728,855 outputs
Outputs from Nature Methods
#492
of 5,409 outputs
Outputs of similar age
#4,718
of 369,960 outputs
Outputs of similar age from Nature Methods
#8
of 81 outputs
Altmetric has tracked 25,728,855 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,409 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 36.5. This one has done particularly well, scoring higher than 90% 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 369,960 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 81 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.