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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Transcriptome sequencing reveals altered long intergenic non-coding RNAs in lung cancer
|
|---|---|
| Published in |
Genome Biology, August 2014
|
| DOI | 10.1186/s13059-014-0429-8 |
| Pubmed ID | |
| Authors |
Nicole M White, Christopher R Cabanski, Jessica M Silva-Fisher, Ha X Dang, Ramaswamy Govindan, Christopher A Maher |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 148 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | <1% |
| Germany | 1 | <1% |
| South Africa | 1 | <1% |
| Unknown | 145 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 38 | 26% |
| Student > Ph. D. Student | 29 | 20% |
| Student > Master | 19 | 13% |
| Student > Bachelor | 13 | 9% |
| Professor > Associate Professor | 10 | 7% |
| Other | 20 | 14% |
| Unknown | 19 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 52 | 35% |
| Biochemistry, Genetics and Molecular Biology | 46 | 31% |
| Medicine and Dentistry | 9 | 6% |
| Engineering | 5 | 3% |
| Computer Science | 5 | 3% |
| Other | 8 | 5% |
| Unknown | 23 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 January 2019.
All research outputs
#2,656,232
of 25,377,790 outputs
Outputs from Genome Biology
#2,104
of 4,467 outputs
Outputs of similar age
#26,301
of 243,100 outputs
Outputs of similar age from Genome Biology
#28
of 94 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 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 52% 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 243,100 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 89% of its contemporaries.
We're also able to compare this research output to 94 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 70% of its contemporaries.