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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Long non-coding RNAs: definitions, functions, challenges and recommendations
|
|---|---|
| Published in |
Nature Reviews Molecular Cell Biology, January 2023
|
| DOI | 10.1038/s41580-022-00566-8 |
| Pubmed ID | |
| Authors |
John S. Mattick, Paulo P. Amaral, Piero Carninci, Susan Carpenter, Howard Y. Chang, Ling-Ling Chen, Runsheng Chen, Caroline Dean, Marcel E. Dinger, Katherine A. Fitzgerald, Thomas R. Gingeras, Mitchell Guttman, Tetsuro Hirose, Maite Huarte, Rory Johnson, Chandrasekhar Kanduri, Philipp Kapranov, Jeanne B. Lawrence, Jeannie T. Lee, Joshua T. Mendell, Timothy R. Mercer, Kathryn J. Moore, Shinichi Nakagawa, John L. Rinn, David L. Spector, Igor Ulitsky, Yue Wan, Jeremy E. Wilusz, Mian Wu |
X Demographics
The data shown below were collected from the profiles of 378 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 States | 50 | 13% |
| United Kingdom | 20 | 5% |
| Mexico | 15 | 4% |
| France | 13 | 3% |
| Japan | 12 | 3% |
| Germany | 11 | 3% |
| Spain | 9 | 2% |
| India | 9 | 2% |
| Italy | 6 | 2% |
| Other | 69 | 18% |
| Unknown | 164 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 194 | 51% |
| Scientists | 173 | 46% |
| Practitioners (doctors, other healthcare professionals) | 8 | 2% |
| Science communicators (journalists, bloggers, editors) | 3 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 708 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 708 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 103 | 15% |
| Researcher | 74 | 10% |
| Student > Bachelor | 59 | 8% |
| Student > Master | 46 | 6% |
| Student > Doctoral Student | 26 | 4% |
| Other | 85 | 12% |
| Unknown | 315 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 217 | 31% |
| Agricultural and Biological Sciences | 72 | 10% |
| Medicine and Dentistry | 19 | 3% |
| Neuroscience | 13 | 2% |
| Chemistry | 13 | 2% |
| Other | 42 | 6% |
| Unknown | 332 | 47% |
Attention Score in Context
This research output has an Altmetric Attention Score of 248. 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 25 April 2024.
All research outputs
#153,723
of 25,850,376 outputs
Outputs from Nature Reviews Molecular Cell Biology
#13
of 2,656 outputs
Outputs of similar age
#4,073
of 480,294 outputs
Outputs of similar age from Nature Reviews Molecular Cell Biology
#2
of 21 outputs
Altmetric has tracked 25,850,376 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,656 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.1. This one has done particularly well, scoring higher than 99% 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 480,294 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 99% of its contemporaries.
We're also able to compare this research output to 21 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.