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Attention Score in Context
| Title |
Most of the extant mtDNA boundaries in South and Southwest Asia were likely shaped during the initial settlement of Eurasia by anatomically modern humans
|
|---|---|
| Published in |
BMC Genomic Data, August 2004
|
| DOI | 10.1186/1471-2156-5-26 |
| Pubmed ID | |
| Authors |
Mait Metspalu, Toomas Kivisild, Ene Metspalu, Jüri Parik, Georgi Hudjashov, Katrin Kaldma, Piia Serk, Monika Karmin, Doron M Behar, M Thomas P Gilbert, Phillip Endicott, Sarabjit Mastana, Surinder S Papiha, Karl Skorecki, Antonio Torroni, Richard Villems |
| Abstract |
Recent advances in the understanding of the maternal and paternal heritage of south and southwest Asian populations have highlighted their role in the colonization of Eurasia by anatomically modern humans. Further understanding requires a deeper insight into the topology of the branches of the Indian mtDNA phylogenetic tree, which should be contextualized within the phylogeography of the neighboring regional mtDNA variation. Accordingly, we have analyzed mtDNA control and coding region variation in 796 Indian (including both tribal and caste populations from different parts of India) and 436 Iranian mtDNAs. The results were integrated and analyzed together with published data from South, Southeast Asia and West Eurasia. |
Mendeley readers
The data shown below were compiled from readership statistics for 219 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 3 | 1% |
| United States | 3 | 1% |
| United Kingdom | 2 | <1% |
| Spain | 2 | <1% |
| Israel | 1 | <1% |
| Chile | 1 | <1% |
| Ireland | 1 | <1% |
| Australia | 1 | <1% |
| Unknown | 205 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 56 | 26% |
| Researcher | 49 | 22% |
| Student > Master | 22 | 10% |
| Student > Bachelor | 18 | 8% |
| Student > Doctoral Student | 14 | 6% |
| Other | 37 | 17% |
| Unknown | 23 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 81 | 37% |
| Biochemistry, Genetics and Molecular Biology | 37 | 17% |
| Social Sciences | 21 | 10% |
| Arts and Humanities | 12 | 5% |
| Medicine and Dentistry | 10 | 5% |
| Other | 27 | 12% |
| Unknown | 31 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 January 2024.
All research outputs
#3,342,501
of 25,371,288 outputs
Outputs from BMC Genomic Data
#100
of 1,204 outputs
Outputs of similar age
#5,818
of 69,888 outputs
Outputs of similar age from BMC Genomic Data
#1
of 2 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 86th 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 particularly well, scoring higher than 91% 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 69,888 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 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them