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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Identification of avian W-linked contigs by short-read sequencing
|
|---|---|
| Published in |
BMC Genomics, May 2012
|
| DOI | 10.1186/1471-2164-13-183 |
| Pubmed ID | |
| Authors |
Nancy Chen, Daniel W Bellott, David C Page, Andrew G Clark |
| Abstract |
The female-specific W chromosomes and male-specific Y chromosomes have proven difficult to assemble with whole-genome shotgun methods, creating a demand for new approaches to identify sequence contigs specific to these sex chromosomes. Here, we develop and apply a novel method for identifying sequences that are W-specific. |
X Demographics
The data shown below were collected from the profiles of 2 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 Kingdom | 1 | 50% |
| Germany | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sweden | 1 | 2% |
| Germany | 1 | 2% |
| Unknown | 64 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 18% |
| Researcher | 11 | 17% |
| Student > Bachelor | 9 | 14% |
| Student > Master | 8 | 12% |
| Professor | 7 | 11% |
| Other | 11 | 17% |
| Unknown | 8 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 34 | 52% |
| Biochemistry, Genetics and Molecular Biology | 18 | 27% |
| Philosophy | 1 | 2% |
| Environmental Science | 1 | 2% |
| Social Sciences | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 10 | 15% |
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 04 October 2022.
All research outputs
#4,836,328
of 25,374,917 outputs
Outputs from BMC Genomics
#1,876
of 11,244 outputs
Outputs of similar age
#31,251
of 176,568 outputs
Outputs of similar age from BMC Genomics
#15
of 123 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 176,568 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 81% of its contemporaries.
We're also able to compare this research output to 123 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.