You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
SSW Library: An SIMD Smith-Waterman C/C++ Library for Use in Genomic Applications
|
|---|---|
| Published in |
PLOS ONE, December 2013
|
| DOI | 10.1371/journal.pone.0082138 |
| Pubmed ID | |
| Authors |
Mengyao Zhao, Wan-Ping Lee, Erik P. Garrison, Gabor T. Marth |
X Demographics
The data shown below were collected from the profiles of 7 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 | 1 | 14% |
| Germany | 1 | 14% |
| India | 1 | 14% |
| China | 1 | 14% |
| Unknown | 3 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 71% |
| Scientists | 2 | 29% |
Mendeley readers
The data shown below were compiled from readership statistics for 150 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 2% |
| France | 2 | 1% |
| Germany | 1 | <1% |
| New Zealand | 1 | <1% |
| Italy | 1 | <1% |
| Argentina | 1 | <1% |
| Croatia | 1 | <1% |
| Unknown | 140 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 39 | 26% |
| Researcher | 36 | 24% |
| Student > Master | 17 | 11% |
| Student > Bachelor | 14 | 9% |
| Professor > Associate Professor | 9 | 6% |
| Other | 16 | 11% |
| Unknown | 19 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 42 | 28% |
| Agricultural and Biological Sciences | 40 | 27% |
| Biochemistry, Genetics and Molecular Biology | 29 | 19% |
| Engineering | 6 | 4% |
| Chemistry | 3 | 2% |
| Other | 8 | 5% |
| Unknown | 22 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 02 April 2020.
All research outputs
#3,091,397
of 26,017,215 outputs
Outputs from PLOS ONE
#37,647
of 225,486 outputs
Outputs of similar age
#33,778
of 326,650 outputs
Outputs of similar age from PLOS ONE
#879
of 5,078 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 225,486 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.8. This one has done well, scoring higher than 83% 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 326,650 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 5,078 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.