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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Bead-linked transposomes enable a normalization-free workflow for NGS library preparation
|
|---|---|
| Published in |
BMC Genomics, October 2018
|
| DOI | 10.1186/s12864-018-5096-9 |
| Pubmed ID | |
| Authors |
Stephen Bruinsma, Joshua Burgess, Daniel Schlingman, Agata Czyz, Natalie Morrell, Catherine Ballenger, Heather Meinholz, Lee Brady, Anupama Khanna, Lindsay Freeberg, Rosamond G Jackson, Pascale Mathonet, Susan C Verity, Andrew F Slatter, Rooz Golshani, Haiying Grunenwald, Gary P Schroth, Niall A Gormley |
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 Kingdom | 3 | 23% |
| United States | 2 | 15% |
| Germany | 2 | 15% |
| Japan | 1 | 8% |
| Unknown | 5 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 7 | 54% |
| Members of the public | 6 | 46% |
Mendeley readers
The data shown below were compiled from readership statistics for 142 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 142 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 22 | 15% |
| Researcher | 20 | 14% |
| Student > Master | 13 | 9% |
| Student > Bachelor | 12 | 8% |
| Student > Doctoral Student | 8 | 6% |
| Other | 20 | 14% |
| Unknown | 47 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 41 | 29% |
| Agricultural and Biological Sciences | 20 | 14% |
| Medicine and Dentistry | 8 | 6% |
| Engineering | 6 | 4% |
| Unspecified | 3 | 2% |
| Other | 14 | 10% |
| Unknown | 50 | 35% |
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 23 November 2023.
All research outputs
#1,600,182
of 25,366,663 outputs
Outputs from BMC Genomics
#302
of 11,226 outputs
Outputs of similar age
#33,227
of 350,940 outputs
Outputs of similar age from BMC Genomics
#8
of 184 outputs
Altmetric has tracked 25,366,663 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,226 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 350,940 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 90% of its contemporaries.
We're also able to compare this research output to 184 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 96% of its contemporaries.