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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Analysis of transcript-deleterious variants in Mendelian disorders: implications for RNA-based diagnostics
|
|---|---|
| Published in |
Genome Biology, June 2020
|
| DOI | 10.1186/s13059-020-02053-9 |
| Pubmed ID | |
| Authors |
Sateesh Maddirevula, Hiroyuki Kuwahara, Nour Ewida, Hanan E. Shamseldin, Nisha Patel, Fatema Alzahrani, Tarfa AlSheddi, Eman AlObeid, Mona Alenazi, Hessa S. Alsaif, Maha Alqahtani, Maha AlAli, Hatoon Al Ali, Rana Helaby, Niema Ibrahim, Firdous Abdulwahab, Mais Hashem, Nadine Hanna, Dorota Monies, Nada Derar, Afaf Alsagheir, Amal Alhashem, Badr Alsaleem, Hamoud Alhebbi, Sami Wali, Ramzan Umarov, Xin Gao, Fowzan S. Alkuraya |
X Demographics
The data shown below were collected from the profiles of 28 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Saudi Arabia | 5 | 18% |
| United Kingdom | 4 | 14% |
| United States | 3 | 11% |
| Spain | 2 | 7% |
| Israel | 1 | 4% |
| India | 1 | 4% |
| Unknown | 12 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 19 | 68% |
| Scientists | 6 | 21% |
| Science communicators (journalists, bloggers, editors) | 2 | 7% |
| Practitioners (doctors, other healthcare professionals) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 78 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 18% |
| Student > Ph. D. Student | 12 | 15% |
| Student > Master | 7 | 9% |
| Student > Bachelor | 6 | 8% |
| Professor | 4 | 5% |
| Other | 12 | 15% |
| Unknown | 23 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 27 | 35% |
| Medicine and Dentistry | 11 | 14% |
| Agricultural and Biological Sciences | 6 | 8% |
| Unspecified | 2 | 3% |
| Computer Science | 2 | 3% |
| Other | 3 | 4% |
| Unknown | 27 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 26. 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 August 2020.
All research outputs
#1,510,339
of 25,613,746 outputs
Outputs from Genome Biology
#1,200
of 4,495 outputs
Outputs of similar age
#43,350
of 435,028 outputs
Outputs of similar age from Genome Biology
#38
of 86 outputs
Altmetric has tracked 25,613,746 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 4,495 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 73% 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 435,028 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 86 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.