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X Demographics
Mendeley readers
Attention Score in Context
| Title |
RIP-seq analysis of eukaryotic Sm proteins identifies three major categories of Sm-containing ribonucleoproteins
|
|---|---|
| Published in |
Genome Biology, January 2014
|
| DOI | 10.1186/gb-2014-15-1-r7 |
| Pubmed ID | |
| Authors |
Zhipeng Lu, Xiaojun Guan, Casey A Schmidt, A Gregory Matera |
| Abstract |
Sm proteins are multimeric RNA-binding factors, found in all three domains of life. Eukaryotic Sm proteins, together with their associated RNAs, form small ribonucleoprotein (RNP) complexes important in multiple aspects of gene regulation. Comprehensive knowledge of the RNA components of Sm RNPs is critical for understanding their functions. |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 17% |
| United States | 1 | 17% |
| France | 1 | 17% |
| India | 1 | 17% |
| United Kingdom | 1 | 17% |
| Unknown | 1 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 50% |
| Scientists | 2 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 146 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 2 | 1% |
| United States | 2 | 1% |
| Italy | 1 | <1% |
| Germany | 1 | <1% |
| Argentina | 1 | <1% |
| Australia | 1 | <1% |
| Unknown | 138 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 42 | 29% |
| Researcher | 33 | 23% |
| Student > Master | 20 | 14% |
| Student > Bachelor | 13 | 9% |
| Student > Doctoral Student | 8 | 5% |
| Other | 22 | 15% |
| Unknown | 8 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 87 | 60% |
| Biochemistry, Genetics and Molecular Biology | 33 | 23% |
| Medicine and Dentistry | 5 | 3% |
| Computer Science | 3 | 2% |
| Immunology and Microbiology | 2 | 1% |
| Other | 7 | 5% |
| Unknown | 9 | 6% |
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 14 May 2016.
All research outputs
#2,752,049
of 25,373,627 outputs
Outputs from Genome Biology
#2,147
of 4,467 outputs
Outputs of similar age
#30,684
of 318,504 outputs
Outputs of similar age from Genome Biology
#57
of 115 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 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 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 318,504 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 115 others from the same source and published within six weeks on either side of this one. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.