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Mendeley readers
Attention Score in Context
| Title |
SNPdetector: A Software Tool for Sensitive and Accurate SNP Detection
|
|---|---|
| Published in |
PLoS Computational Biology, October 2005
|
| DOI | 10.1371/journal.pcbi.0010053 |
| Pubmed ID | |
| Authors |
Jinghui Zhang, David A Wheeler, Imtiaz Yakub, Sharon Wei, Raman Sood, William Rowe, Paul P Liu, Richard A Gibbs, Kenneth H Buetow |
Mendeley readers
The data shown below were compiled from readership statistics for 144 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 3% |
| France | 3 | 2% |
| Germany | 2 | 1% |
| Belgium | 2 | 1% |
| India | 2 | 1% |
| Italy | 1 | <1% |
| Ghana | 1 | <1% |
| Netherlands | 1 | <1% |
| Israel | 1 | <1% |
| Other | 6 | 4% |
| Unknown | 120 | 83% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 47 | 33% |
| Student > Ph. D. Student | 33 | 23% |
| Student > Master | 13 | 9% |
| Student > Bachelor | 9 | 6% |
| Professor > Associate Professor | 9 | 6% |
| Other | 25 | 17% |
| Unknown | 8 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 89 | 62% |
| Biochemistry, Genetics and Molecular Biology | 17 | 12% |
| Computer Science | 10 | 7% |
| Medicine and Dentistry | 6 | 4% |
| Neuroscience | 3 | 2% |
| Other | 9 | 6% |
| Unknown | 10 | 7% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 08 May 2016.
All research outputs
#8,535,472
of 25,374,647 outputs
Outputs from PLoS Computational Biology
#5,638
of 8,960 outputs
Outputs of similar age
#26,690
of 75,569 outputs
Outputs of similar age from PLoS Computational Biology
#11
of 21 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,960 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one is in the 33rd percentile – i.e., 33% of its peers scored the same or lower than it.
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 75,569 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.