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Mendeley readers
Attention Score in Context
Title |
Toward allotetraploid cotton genome assembly: integration of a high-density molecular genetic linkage map with DNA sequence information
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Published in |
BMC Genomics, October 2012
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DOI | 10.1186/1471-2164-13-539 |
Pubmed ID | |
Authors |
Liang Zhao, Lv Yuanda, Cai Caiping, Tong Xiangchao, Chen Xiangdong, Zhang Wei, Du Hao, Guo Xiuhua, Guo Wangzhen |
Abstract |
Cotton is the world's most important natural textile fiber and a significant oilseed crop. Decoding cotton genomes will provide the ultimate reference and resource for research and utilization of the species. Integration of high-density genetic maps with genomic sequence information will largely accelerate the process of whole-genome assembly in cotton. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Netherlands | 1 | 2% |
Italy | 1 | 2% |
Brazil | 1 | 2% |
Saudi Arabia | 1 | 2% |
United States | 1 | 2% |
Unknown | 51 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 22 | 39% |
Student > Doctoral Student | 7 | 13% |
Student > Ph. D. Student | 7 | 13% |
Student > Master | 4 | 7% |
Other | 3 | 5% |
Other | 9 | 16% |
Unknown | 4 | 7% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 42 | 75% |
Biochemistry, Genetics and Molecular Biology | 4 | 7% |
Environmental Science | 1 | 2% |
Arts and Humanities | 1 | 2% |
Computer Science | 1 | 2% |
Other | 3 | 5% |
Unknown | 4 | 7% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 27 November 2013.
All research outputs
#6,599,307
of 23,340,595 outputs
Outputs from BMC Genomics
#2,939
of 10,745 outputs
Outputs of similar age
#47,436
of 174,073 outputs
Outputs of similar age from BMC Genomics
#43
of 137 outputs
Altmetric has tracked 23,340,595 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 10,745 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 71% 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 174,073 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 137 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.