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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Analysis of long non-coding RNAs highlights tissue-specific expression patterns and epigenetic profiles in normal and psoriatic skin
|
|---|---|
| Published in |
Genome Biology, January 2015
|
| DOI | 10.1186/s13059-014-0570-4 |
| Pubmed ID | |
| Authors |
Lam C Tsoi, Matthew K Iyer, Philip E Stuart, William R Swindell, Johann E Gudjonsson, Trilokraj Tejasvi, Mrinal K Sarkar, Bingshan Li, Jun Ding, John J Voorhees, Hyun M Kang, Rajan P Nair, Arul M Chinnaiyan, Goncalo R Abecasis, James T Elder |
X Demographics
The data shown below were collected from the profiles of 16 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 | 19% |
| United States | 2 | 13% |
| China | 1 | 6% |
| France | 1 | 6% |
| Unknown | 9 | 56% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 75% |
| Scientists | 3 | 19% |
| Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 244 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | <1% |
| Norway | 1 | <1% |
| South Africa | 1 | <1% |
| Czechia | 1 | <1% |
| New Zealand | 1 | <1% |
| Italy | 1 | <1% |
| China | 1 | <1% |
| Denmark | 1 | <1% |
| United States | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 233 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 63 | 26% |
| Researcher | 54 | 22% |
| Student > Master | 31 | 13% |
| Student > Bachelor | 17 | 7% |
| Student > Doctoral Student | 12 | 5% |
| Other | 38 | 16% |
| Unknown | 29 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 75 | 31% |
| Biochemistry, Genetics and Molecular Biology | 73 | 30% |
| Medicine and Dentistry | 18 | 7% |
| Computer Science | 15 | 6% |
| Immunology and Microbiology | 11 | 5% |
| Other | 16 | 7% |
| Unknown | 36 | 15% |
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 31 March 2015.
All research outputs
#2,806,024
of 25,373,627 outputs
Outputs from Genome Biology
#2,169
of 4,467 outputs
Outputs of similar age
#38,645
of 361,467 outputs
Outputs of similar age from Genome Biology
#43
of 65 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 88th 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 51% 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 361,467 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 65 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.