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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Identifying genetic variants and pathways associated with extreme levels of fetal hemoglobin in sickle cell disease in Tanzania
|
|---|---|
| Published in |
BMC Medical Genomics, June 2020
|
| DOI | 10.1186/s12881-020-01059-1 |
| Pubmed ID | |
| Authors |
Siana Nkya, Liberata Mwita, Josephine Mgaya, Happiness Kumburu, Marco van Zwetselaar, Stephan Menzel, Gaston Kuzamunu Mazandu, Raphael Sangeda, Emile Chimusa, Julie Makani |
X Demographics
The data shown below were collected from the profiles of 17 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Tanzania, United Republic of | 7 | 41% |
| France | 1 | 6% |
| South Africa | 1 | 6% |
| United Kingdom | 1 | 6% |
| Central African Republic | 1 | 6% |
| Unknown | 6 | 35% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 71% |
| Practitioners (doctors, other healthcare professionals) | 3 | 18% |
| Scientists | 2 | 12% |
Mendeley readers
The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 54 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 13% |
| Student > Master | 5 | 9% |
| Student > Bachelor | 5 | 9% |
| Researcher | 4 | 7% |
| Other | 4 | 7% |
| Other | 8 | 15% |
| Unknown | 21 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 9 | 17% |
| Medicine and Dentistry | 9 | 17% |
| Agricultural and Biological Sciences | 6 | 11% |
| Nursing and Health Professions | 2 | 4% |
| Immunology and Microbiology | 2 | 4% |
| Other | 2 | 4% |
| Unknown | 24 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 October 2020.
All research outputs
#2,283,892
of 25,387,668 outputs
Outputs from BMC Medical Genomics
#96
of 2,444 outputs
Outputs of similar age
#63,803
of 432,846 outputs
Outputs of similar age from BMC Medical Genomics
#2
of 47 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,444 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done particularly well, scoring higher than 96% 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 432,846 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 47 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 95% of its contemporaries.