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Genetic continuity across a deeply divergent linguistic contact zone in North Maluku, Indonesia

Overview of attention for article published in BMC Genomic Data, November 2011
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Title
Genetic continuity across a deeply divergent linguistic contact zone in North Maluku, Indonesia
Published in
BMC Genomic Data, November 2011
DOI 10.1186/1471-2156-12-100
Pubmed ID
Authors

Jason A Wilder, Murray P Cox, Andrew M Paquette, Regan Alford, Ari W Satyagraha, Alida Harahap, Herawati Sudoyo

Abstract

The islands of North Maluku, Indonesia occupy a central position in the major prehistoric dispersal streams that shaped the peoples of Island Southeast Asia and the Pacific. Within this region a linguistic contact zone exists where speakers of Papuan and Austronesian languages reside in close proximity. Here we use population genetic data to assess the extent to which North Maluku populations experienced admixture of Asian genetic material, and whether linguistic boundaries reflect genetic differentiation today.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Indonesia 1 4%
Australia 1 4%
Unknown 26 93%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 18%
Student > Ph. D. Student 5 18%
Student > Bachelor 4 14%
Researcher 4 14%
Other 2 7%
Other 6 21%
Unknown 2 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 36%
Arts and Humanities 5 18%
Social Sciences 3 11%
Biochemistry, Genetics and Molecular Biology 2 7%
Environmental Science 1 4%
Other 3 11%
Unknown 4 14%
Attention Score in Context

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 30 January 2013.
All research outputs
#16,046,765
of 25,371,288 outputs
Outputs from BMC Genomic Data
#549
of 1,204 outputs
Outputs of similar age
#161,743
of 243,904 outputs
Outputs of similar age from BMC Genomic Data
#2
of 15 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,204 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 50% 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 243,904 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.