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X Demographics
Mendeley readers
Attention Score in Context
Title |
Copy number variation in human genomes from three major ethno-linguistic groups in Africa
|
---|---|
Published in |
BMC Genomics, April 2020
|
DOI | 10.1186/s12864-020-6669-y |
Pubmed ID | |
Authors |
Oscar A. Nyangiri, Harry Noyes, Julius Mulindwa, Hamidou Ilboudo, Justin Windingoudi Kabore, Bernardin Ahouty, Mathurin Koffi, Olivier Fataki Asina, Dieudonne Mumba, Elvis Ofon, Gustave Simo, Magambo Phillip Kimuda, John Enyaru, Vincent Pius Alibu, Kelita Kamoto, John Chisi, Martin Simuunza, Mamadou Camara, Issa Sidibe, Annette MacLeod, Bruno Bucheton, Neil Hall, Christiane Hertz-Fowler, Enock Matovu |
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 % |
---|---|---|
South Africa | 1 | 50% |
United Kingdom | 1 | 50% |
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 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 41 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 7 | 17% |
Researcher | 7 | 17% |
Other | 5 | 12% |
Student > Doctoral Student | 2 | 5% |
Student > Bachelor | 2 | 5% |
Other | 6 | 15% |
Unknown | 12 | 29% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 13 | 32% |
Agricultural and Biological Sciences | 8 | 20% |
Immunology and Microbiology | 3 | 7% |
Nursing and Health Professions | 1 | 2% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
Other | 2 | 5% |
Unknown | 13 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 19 December 2020.
All research outputs
#18,056,540
of 23,201,298 outputs
Outputs from BMC Genomics
#7,608
of 10,725 outputs
Outputs of similar age
#264,562
of 373,086 outputs
Outputs of similar age from BMC Genomics
#91
of 154 outputs
Altmetric has tracked 23,201,298 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,725 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 23rd percentile – i.e., 23% of its peers scored the same or lower than it.
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 373,086 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 154 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.