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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Searching for SNPs with cloud computing
|
|---|---|
| Published in |
Genome Biology, November 2009
|
| DOI | 10.1186/gb-2009-10-11-r134 |
| Pubmed ID | |
| Authors |
Ben Langmead, Michael C Schatz, Jimmy Lin, Mihai Pop, Steven L Salzberg |
X Demographics
The data shown below were collected from the profiles of 11 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 | 4 | 36% |
| United Kingdom | 2 | 18% |
| France | 1 | 9% |
| Hong Kong | 1 | 9% |
| Unknown | 3 | 27% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 7 | 64% |
| Members of the public | 2 | 18% |
| Science communicators (journalists, bloggers, editors) | 2 | 18% |
Mendeley readers
The data shown below were compiled from readership statistics for 591 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 38 | 6% |
| United Kingdom | 6 | 1% |
| Brazil | 6 | 1% |
| Germany | 5 | <1% |
| France | 4 | <1% |
| Japan | 4 | <1% |
| Netherlands | 2 | <1% |
| Chile | 2 | <1% |
| Norway | 2 | <1% |
| Other | 32 | 5% |
| Unknown | 490 | 83% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 189 | 32% |
| Student > Ph. D. Student | 105 | 18% |
| Student > Master | 66 | 11% |
| Professor > Associate Professor | 44 | 7% |
| Other | 37 | 6% |
| Other | 119 | 20% |
| Unknown | 31 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 275 | 47% |
| Computer Science | 149 | 25% |
| Biochemistry, Genetics and Molecular Biology | 47 | 8% |
| Engineering | 20 | 3% |
| Medicine and Dentistry | 18 | 3% |
| Other | 39 | 7% |
| Unknown | 43 | 7% |
Attention Score in Context
This research output has an Altmetric Attention Score of 30. 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 26 March 2019.
All research outputs
#1,318,981
of 25,374,917 outputs
Outputs from Genome Biology
#1,025
of 4,467 outputs
Outputs of similar age
#5,206
of 178,836 outputs
Outputs of similar age from Genome Biology
#3
of 24 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has done well, scoring higher than 77% 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 178,836 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 97% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.