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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Reducing INDEL calling errors in whole genome and exome sequencing data
|
|---|---|
| Published in |
Genome Medicine, October 2014
|
| DOI | 10.1186/s13073-014-0089-z |
| Pubmed ID | |
| Authors |
Han Fang, Yiyang Wu, Giuseppe Narzisi, Jason A ORawe, Laura T Jimenez Barrón, Julie Rosenbaum, Michael Ronemus, Ivan Iossifov, Michael C Schatz, Gholson J Lyon |
X Demographics
The data shown below were collected from the profiles of 45 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 | 15 | 33% |
| Canada | 3 | 7% |
| Spain | 1 | 2% |
| United Kingdom | 1 | 2% |
| Australia | 1 | 2% |
| Netherlands | 1 | 2% |
| France | 1 | 2% |
| Hong Kong | 1 | 2% |
| Israel | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 19 | 42% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 27 | 60% |
| Members of the public | 17 | 38% |
| Practitioners (doctors, other healthcare professionals) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 218 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 4 | 2% |
| United States | 2 | <1% |
| Bolivia, Plurinational State of | 1 | <1% |
| Netherlands | 1 | <1% |
| Sweden | 1 | <1% |
| Brazil | 1 | <1% |
| China | 1 | <1% |
| Poland | 1 | <1% |
| Unknown | 206 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 60 | 28% |
| Researcher | 47 | 22% |
| Student > Master | 26 | 12% |
| Student > Bachelor | 15 | 7% |
| Professor > Associate Professor | 9 | 4% |
| Other | 24 | 11% |
| Unknown | 37 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 77 | 35% |
| Biochemistry, Genetics and Molecular Biology | 52 | 24% |
| Medicine and Dentistry | 18 | 8% |
| Computer Science | 11 | 5% |
| Immunology and Microbiology | 5 | 2% |
| Other | 11 | 5% |
| Unknown | 44 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 33. 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 22 May 2020.
All research outputs
#1,237,251
of 25,837,817 outputs
Outputs from Genome Medicine
#245
of 1,611 outputs
Outputs of similar age
#13,752
of 275,982 outputs
Outputs of similar age from Genome Medicine
#6
of 52 outputs
Altmetric has tracked 25,837,817 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 1,611 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.6. This one has done well, scoring higher than 84% 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 275,982 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 94% of its contemporaries.
We're also able to compare this research output to 52 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.