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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Bioinformatics and DNA-extraction strategies to reliably detect genetic variants from FFPE breast tissue samples
|
|---|---|
| Published in |
BMC Genomics, September 2019
|
| DOI | 10.1186/s12864-019-6056-8 |
| Pubmed ID | |
| Authors |
Aditya Vijay Bhagwate, Yuanhang Liu, Stacey J. Winham, Samantha J. McDonough, Melody L. Stallings-Mann, Ethan P. Heinzen, Jaime I. Davila, Robert A. Vierkant, Tanya L. Hoskin, Marlene Frost, Jodi M. Carter, Derek C. Radisky, Julie M. Cunningham, Amy C. Degnim, Chen Wang |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Korea, Democratic People's Republic of | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 90 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 17% |
| Student > Ph. D. Student | 11 | 12% |
| Student > Master | 10 | 11% |
| Student > Bachelor | 7 | 8% |
| Student > Postgraduate | 4 | 4% |
| Other | 10 | 11% |
| Unknown | 33 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 27 | 30% |
| Medicine and Dentistry | 9 | 10% |
| Agricultural and Biological Sciences | 5 | 6% |
| Computer Science | 3 | 3% |
| Immunology and Microbiology | 2 | 2% |
| Other | 9 | 10% |
| Unknown | 35 | 39% |
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 05 September 2019.
All research outputs
#14,455,968
of 23,155,957 outputs
Outputs from BMC Genomics
#5,724
of 10,712 outputs
Outputs of similar age
#187,129
of 340,183 outputs
Outputs of similar age from BMC Genomics
#63
of 133 outputs
Altmetric has tracked 23,155,957 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,712 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 42nd percentile – i.e., 42% of its peers scored the same or lower than it.
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 340,183 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 133 others from the same source and published within six weeks on either side of this one. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.