You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Characterizing the genetic differences between two distinct migrant groups from Indo-European and Dravidian speaking populations in India
|
|---|---|
| Published in |
BMC Genomic Data, July 2014
|
| DOI | 10.1186/1471-2156-15-86 |
| Pubmed ID | |
| Authors |
Mohammad Ali, Xuanyao Liu, Esakimuthu Nisha Pillai, Peng Chen, Chiea-Chuen Khor, Rick Twee-Hee Ong, Yik-Ying Teo |
X Demographics
The data shown below were collected from the profiles of 16 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 4 | 25% |
| France | 1 | 6% |
| Unknown | 11 | 69% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 15 | 94% |
| Scientists | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 3% |
| Unknown | 35 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 31% |
| Student > Master | 8 | 22% |
| Researcher | 4 | 11% |
| Lecturer > Senior Lecturer | 3 | 8% |
| Professor > Associate Professor | 2 | 6% |
| Other | 5 | 14% |
| Unknown | 3 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 8 | 22% |
| Agricultural and Biological Sciences | 8 | 22% |
| Medicine and Dentistry | 6 | 17% |
| Linguistics | 1 | 3% |
| Nursing and Health Professions | 1 | 3% |
| Other | 5 | 14% |
| Unknown | 7 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 27. 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 12 April 2024.
All research outputs
#1,467,983
of 25,706,302 outputs
Outputs from BMC Genomic Data
#30
of 1,209 outputs
Outputs of similar age
#14,201
of 240,082 outputs
Outputs of similar age from BMC Genomic Data
#2
of 25 outputs
Altmetric has tracked 25,706,302 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,209 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done particularly well, scoring higher than 97% 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 240,082 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 94% of its contemporaries.
We're also able to compare this research output to 25 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 92% of its contemporaries.