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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Genomic and Transcriptomic Analyses of Avian Sex Chromosomes and Sex-Linked Genes
|
|---|---|
| Chapter number | 4 |
| Book title |
Avian and Reptilian Developmental Biology
|
| Published in |
Methods in molecular biology, January 2017
|
| DOI | 10.1007/978-1-4939-7216-6_4 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7215-9, 978-1-4939-7216-6
|
| Authors |
Jilin Zhang, Jing Li, Qi Zhou |
| Abstract |
Sex chromosomes and sex-linked genes usually show unusual features comparing to the rest of the genome and thus are of particular interests to evolutionary and developmental biologists. Here we describe recently developed bioinformatic methods for identifying sex-linked sequences, in a genome without priori linkage information. Some are developed during our course of studying avian genomes. These methods require sequence data, either assembled draft genome or raw sequences derived from the heterogametic sex (e.g., a female bird or a male mammal). Their application is not restricted to birds but can be used for any species with a sex chromosome pair that has diverged from each other for a substantial degree. |
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 % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 1 | 33% |
| Unknown | 2 | 67% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 1 | 33% |
| Unknown | 2 | 67% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 17 August 2017.
All research outputs
#14,931,166
of 22,965,074 outputs
Outputs from Methods in molecular biology
#4,719
of 13,137 outputs
Outputs of similar age
#243,275
of 421,065 outputs
Outputs of similar age from Methods in molecular biology
#415
of 1,074 outputs
Altmetric has tracked 22,965,074 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,137 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 59% 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 421,065 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,074 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 56% of its contemporaries.