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Twitter Demographics
Mendeley readers
Attention Score in Context
| Title |
|
|---|---|
| Published in |
Genome Biology, January 2004
|
| DOI | 10.1186/gb-2004-5-2-r12 |
| Pubmed ID | |
| Authors |
Stefan Kurtz, Adam Phillippy, Arthur L Delcher, Michael Smoot, Martin Shumway, Corina Antonescu, Steven L Salzberg |
| Abstract |
The newest version of MUMmer easily handles comparisons of large eukaryotic genomes at varying evolutionary distances, as demonstrated by applications to multiple genomes. Two new graphical viewing tools provide alternative ways to analyze genome alignments. The new system is the first version of MUMmer to be released as open-source software. This allows other developers to contribute to the code base and freely redistribute the code. The MUMmer sources are available at http://www.tigr.org/software/mummer. |
Twitter Demographics
The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 2,208 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 40 | 2% |
| United Kingdom | 13 | <1% |
| Germany | 10 | <1% |
| Brazil | 10 | <1% |
| Mexico | 9 | <1% |
| France | 7 | <1% |
| Spain | 7 | <1% |
| Australia | 7 | <1% |
| Denmark | 6 | <1% |
| Other | 55 | 2% |
| Unknown | 2044 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 586 | 27% |
| Researcher | 488 | 22% |
| Student > Master | 293 | 13% |
| Student > Bachelor | 173 | 8% |
| Student > Doctoral Student | 106 | 5% |
| Other | 334 | 15% |
| Unknown | 228 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 1060 | 48% |
| Biochemistry, Genetics and Molecular Biology | 446 | 20% |
| Computer Science | 142 | 6% |
| Immunology and Microbiology | 67 | 3% |
| Medicine and Dentistry | 46 | 2% |
| Other | 155 | 7% |
| Unknown | 292 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 26. 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 15 June 2023.
All research outputs
#1,359,921
of 24,003,070 outputs
Outputs from Genome Biology
#1,130
of 4,279 outputs
Outputs of similar age
#2,612
of 137,724 outputs
Outputs of similar age from Genome Biology
#3
of 85 outputs
Altmetric has tracked 24,003,070 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 4,279 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.9. This one has gotten more attention than average, scoring higher than 73% 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 137,724 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 85 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 96% of its contemporaries.