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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Error-corrected sequencing strategies enable comprehensive detection of leukemic mutations relevant for diagnosis and minimal residual disease monitoring
|
|---|---|
| Published in |
BMC Medical Genomics, March 2020
|
| DOI | 10.1186/s12920-020-0671-8 |
| Pubmed ID | |
| Authors |
Erin L. Crowgey, Nitin Mahajan, Wing Hing Wong, Anilkumar Gopalakrishnapillai, Sonali P. Barwe, E. Anders Kolb, Todd E. Druley |
X Demographics
The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 9 | 69% |
| United Kingdom | 1 | 8% |
| Unknown | 3 | 23% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 62% |
| Scientists | 3 | 23% |
| Practitioners (doctors, other healthcare professionals) | 2 | 15% |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 27 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 15% |
| Researcher | 4 | 15% |
| Student > Bachelor | 2 | 7% |
| Other | 1 | 4% |
| Student > Master | 1 | 4% |
| Other | 3 | 11% |
| Unknown | 12 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 26% |
| Agricultural and Biological Sciences | 3 | 11% |
| Medicine and Dentistry | 3 | 11% |
| Business, Management and Accounting | 1 | 4% |
| Immunology and Microbiology | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 11 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 24. 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 17 December 2020.
All research outputs
#1,320,658
of 23,577,654 outputs
Outputs from BMC Medical Genomics
#35
of 1,262 outputs
Outputs of similar age
#32,417
of 362,660 outputs
Outputs of similar age from BMC Medical Genomics
#1
of 36 outputs
Altmetric has tracked 23,577,654 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 1,262 research outputs from this source. They receive a mean Attention Score of 4.8. 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 362,660 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 36 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 97% of its contemporaries.