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X Demographics
Mendeley readers
Attention Score in Context
Title |
Uncovering adaptive evolution in the human lineage
|
---|---|
Published in |
BMC Genomics, July 2014
|
DOI | 10.1186/1471-2164-15-599 |
Pubmed ID | |
Authors |
Magdalena Gayà-Vidal, M Mar Albà |
Abstract |
The recent increase in human polymorphism data, together with the availability of genome sequences from several primate species, provides an unprecedented opportunity to investigate how natural selection has shaped human evolution. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Belgium | 1 | 25% |
United Kingdom | 1 | 25% |
Russia | 1 | 25% |
Unknown | 1 | 25% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 2 | 50% |
Members of the public | 1 | 25% |
Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 3 | 4% |
United States | 2 | 3% |
Mexico | 1 | 1% |
Italy | 1 | 1% |
China | 1 | 1% |
Canada | 1 | 1% |
Unknown | 60 | 87% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 23 | 33% |
Student > Master | 12 | 17% |
Researcher | 10 | 14% |
Professor | 5 | 7% |
Student > Bachelor | 4 | 6% |
Other | 8 | 12% |
Unknown | 7 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 38 | 55% |
Biochemistry, Genetics and Molecular Biology | 14 | 20% |
Computer Science | 3 | 4% |
Medicine and Dentistry | 2 | 3% |
Chemical Engineering | 1 | 1% |
Other | 2 | 3% |
Unknown | 9 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 30 March 2019.
All research outputs
#2,187,264
of 25,373,627 outputs
Outputs from BMC Genomics
#546
of 11,244 outputs
Outputs of similar age
#21,464
of 241,798 outputs
Outputs of similar age from BMC Genomics
#17
of 284 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% 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 particularly well, scoring higher than 95% 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 241,798 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 284 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.