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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Wnt-regulated lncRNA discovery enhanced by in vivo identification and CRISPRi functional validation
|
|---|---|
| Published in |
Genome Medicine, October 2020
|
| DOI | 10.1186/s13073-020-00788-5 |
| Pubmed ID | |
| Authors |
Shiyang Liu, Nathan Harmston, Trudy Lee Glaser, Yunka Wong, Zheng Zhong, Babita Madan, David M. Virshup, Enrico Petretto |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Singapore | 4 | 50% |
| Unknown | 4 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 5 | 63% |
| Members of the public | 3 | 38% |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 37 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 19% |
| Researcher | 6 | 16% |
| Student > Ph. D. Student | 3 | 8% |
| Student > Doctoral Student | 1 | 3% |
| Student > Bachelor | 1 | 3% |
| Other | 5 | 14% |
| Unknown | 14 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 11 | 30% |
| Medicine and Dentistry | 4 | 11% |
| Agricultural and Biological Sciences | 3 | 8% |
| Chemistry | 2 | 5% |
| Computer Science | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 13 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 70. 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 2020.
All research outputs
#530,084
of 23,308,124 outputs
Outputs from Genome Medicine
#100
of 1,456 outputs
Outputs of similar age
#15,994
of 420,322 outputs
Outputs of similar age from Genome Medicine
#4
of 32 outputs
Altmetric has tracked 23,308,124 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,456 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.9. This one has done particularly well, scoring higher than 93% 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 420,322 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 96% of its contemporaries.
We're also able to compare this research output to 32 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 90% of its contemporaries.