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Mendeley readers
Attention Score in Context
| Title |
Targeted enrichment of the black cottonwood (Populus trichocarpa) gene space using sequence capture
|
|---|---|
| Published in |
BMC Genomics, December 2012
|
| DOI | 10.1186/1471-2164-13-703 |
| Pubmed ID | |
| Authors |
Lecong Zhou, Jason A Holliday |
| Abstract |
High-throughput re-sequencing is rapidly becoming the method of choice for studies of neutral and adaptive processes in natural populations across taxa. As re-sequencing the genome of large numbers of samples is still cost-prohibitive in many cases, methods for genome complexity reduction have been developed in attempts to capture most ecologically-relevant genetic variation. One of these approaches is sequence capture, in which oligonucleotide baits specific to genomic regions of interest are synthesized and used to retrieve and sequence those regions. |
Mendeley readers
The data shown below were compiled from readership statistics for 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 3% |
| Poland | 2 | 2% |
| Austria | 1 | <1% |
| Australia | 1 | <1% |
| Canada | 1 | <1% |
| Netherlands | 1 | <1% |
| Spain | 1 | <1% |
| Brazil | 1 | <1% |
| Unknown | 107 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 34 | 29% |
| Student > Ph. D. Student | 25 | 21% |
| Student > Master | 14 | 12% |
| Student > Bachelor | 8 | 7% |
| Professor | 7 | 6% |
| Other | 19 | 16% |
| Unknown | 11 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 81 | 69% |
| Biochemistry, Genetics and Molecular Biology | 14 | 12% |
| Environmental Science | 4 | 3% |
| Mathematics | 1 | <1% |
| Computer Science | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 17 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 01 February 2016.
All research outputs
#4,836,164
of 25,374,917 outputs
Outputs from BMC Genomics
#1,876
of 11,244 outputs
Outputs of similar age
#46,085
of 286,423 outputs
Outputs of similar age from BMC Genomics
#32
of 202 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 82% 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 286,423 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 82% of its contemporaries.
We're also able to compare this research output to 202 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.