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X Demographics
Mendeley readers
Attention Score in Context
| Title |
PIRCh-seq: functional classification of non-coding RNAs associated with distinct histone modifications
|
|---|---|
| Published in |
Genome Biology, December 2019
|
| DOI | 10.1186/s13059-019-1880-3 |
| Pubmed ID | |
| Authors |
Jingwen Fang, Qing Ma, Ci Chu, Beibei Huang, Lingjie Li, Pengfei Cai, Pedro J. Batista, Karen Erisse Martin Tolentino, Jin Xu, Rui Li, Pengcheng Du, Kun Qu, Howard Y. Chang |
X Demographics
The data shown below were collected from the profiles of 20 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 | 9 | 45% |
| United Kingdom | 2 | 10% |
| Germany | 1 | 5% |
| Belgium | 1 | 5% |
| China | 1 | 5% |
| France | 1 | 5% |
| Australia | 1 | 5% |
| Unknown | 4 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 15 | 75% |
| Members of the public | 3 | 15% |
| Science communicators (journalists, bloggers, editors) | 2 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 54 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 22% |
| Student > Ph. D. Student | 11 | 20% |
| Student > Bachelor | 4 | 7% |
| Student > Master | 4 | 7% |
| Student > Doctoral Student | 3 | 6% |
| Other | 7 | 13% |
| Unknown | 13 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 27 | 50% |
| Agricultural and Biological Sciences | 6 | 11% |
| Computer Science | 3 | 6% |
| Chemistry | 2 | 4% |
| Neuroscience | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 13 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 18 May 2021.
All research outputs
#3,338,200
of 25,387,668 outputs
Outputs from Genome Biology
#2,391
of 4,470 outputs
Outputs of similar age
#77,228
of 475,017 outputs
Outputs of similar age from Genome Biology
#72
of 93 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,470 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 46th percentile – i.e., 46% of its peers scored the same or lower than it.
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 475,017 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 83% of its contemporaries.
We're also able to compare this research output to 93 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.