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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Maternal phylogenetic relationships and genetic variation among Arabian horse populations using whole mitochondrial DNA D-loop sequencing
|
|---|---|
| Published in |
BMC Genomic Data, September 2013
|
| DOI | 10.1186/1471-2156-14-83 |
| Pubmed ID | |
| Authors |
Anas M Khanshour, Ernest Gus Cothran |
| Abstract |
Maternal inheritance is an essential point in Arabian horse population genetics and strains classification. The mitochondrial DNA (mtDNA) sequencing is a highly informative tool to investigate maternal lineages. We sequenced the whole mtDNA D-loop of 251 Arabian horses to study the genetic diversity and phylogenetic relationships of Arabian populations and to examine the traditional strain classification system that depends on maternal family lines using native Arabian horses from the Middle East. |
X Demographics
The data shown below were collected from the profiles of 5 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 | 2 | 40% |
| United Kingdom | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 1 | 20% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Colombia | 1 | 1% |
| Germany | 1 | 1% |
| Unknown | 70 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 24% |
| Researcher | 15 | 21% |
| Student > Master | 10 | 14% |
| Student > Bachelor | 8 | 11% |
| Student > Doctoral Student | 6 | 8% |
| Other | 9 | 13% |
| Unknown | 7 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 40 | 56% |
| Biochemistry, Genetics and Molecular Biology | 8 | 11% |
| Veterinary Science and Veterinary Medicine | 6 | 8% |
| Medicine and Dentistry | 2 | 3% |
| Environmental Science | 1 | 1% |
| Other | 4 | 6% |
| Unknown | 11 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 28 December 2023.
All research outputs
#4,807,943
of 25,371,288 outputs
Outputs from BMC Genomic Data
#162
of 1,204 outputs
Outputs of similar age
#39,872
of 210,196 outputs
Outputs of similar age from BMC Genomic Data
#4
of 17 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,204 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done well, scoring higher than 86% 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 210,196 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 80% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.