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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Opportunities and challenges of whole-genome and -exome sequencing
|
|---|---|
| Published in |
BMC Genomic Data, February 2017
|
| DOI | 10.1186/s12863-017-0479-5 |
| Pubmed ID | |
| Authors |
Britt-Sabina Petersen, Broder Fredrich, Marc P. Hoeppner, David Ellinghaus, Andre Franke |
| Abstract |
Recent advances in the development of sequencing technologies provide researchers with unprecedented possibilities for genetic analyses. In this review, we will discuss the history of genetic studies and the progress driven by next-generation sequencing (NGS), using complex inflammatory bowel diseases as an example. We focus on the opportunities, but also challenges that researchers are facing when working with NGS data to unravel the genetic causes underlying diseases. |
X Demographics
The data shown below were collected from the profiles of 11 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 | 4 | 36% |
| United States | 1 | 9% |
| Unknown | 6 | 55% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 36% |
| Scientists | 4 | 36% |
| Practitioners (doctors, other healthcare professionals) | 2 | 18% |
| Science communicators (journalists, bloggers, editors) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 566 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | <1% |
| Italy | 1 | <1% |
| Unknown | 563 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 92 | 16% |
| Researcher | 76 | 13% |
| Student > Master | 74 | 13% |
| Student > Bachelor | 74 | 13% |
| Student > Postgraduate | 30 | 5% |
| Other | 79 | 14% |
| Unknown | 141 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 177 | 31% |
| Medicine and Dentistry | 96 | 17% |
| Agricultural and Biological Sciences | 65 | 11% |
| Computer Science | 20 | 4% |
| Neuroscience | 9 | 2% |
| Other | 46 | 8% |
| Unknown | 153 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 2023.
All research outputs
#4,334,332
of 26,017,215 outputs
Outputs from BMC Genomic Data
#141
of 1,222 outputs
Outputs of similar age
#82,398
of 440,499 outputs
Outputs of similar age from BMC Genomic Data
#3
of 17 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,222 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done well, scoring higher than 88% 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 440,499 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 81% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.