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X Demographics
Mendeley readers
Attention Score in Context
| Title |
CLIPdb: a CLIP-seq database for protein-RNA interactions
|
|---|---|
| Published in |
BMC Genomics, February 2015
|
| DOI | 10.1186/s12864-015-1273-2 |
| Pubmed ID | |
| Authors |
Yu-Cheng T Yang, Chao Di, Boqin Hu, Meifeng Zhou, Yifang Liu, Nanxi Song, Yang Li, Jumpei Umetsu, Zhi John Lu |
X Demographics
The data shown below were collected from the profiles of 14 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 | 3 | 21% |
| France | 2 | 14% |
| India | 2 | 14% |
| Australia | 1 | 7% |
| Spain | 1 | 7% |
| China | 1 | 7% |
| Unknown | 4 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 57% |
| Scientists | 6 | 43% |
Mendeley readers
The data shown below were compiled from readership statistics for 263 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | <1% |
| Spain | 2 | <1% |
| Switzerland | 1 | <1% |
| Czechia | 1 | <1% |
| Austria | 1 | <1% |
| India | 1 | <1% |
| Denmark | 1 | <1% |
| Unknown | 254 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 79 | 30% |
| Researcher | 44 | 17% |
| Student > Master | 34 | 13% |
| Student > Bachelor | 13 | 5% |
| Professor | 13 | 5% |
| Other | 33 | 13% |
| Unknown | 47 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 88 | 33% |
| Agricultural and Biological Sciences | 83 | 32% |
| Computer Science | 18 | 7% |
| Engineering | 7 | 3% |
| Medicine and Dentistry | 6 | 2% |
| Other | 12 | 5% |
| Unknown | 49 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 07 March 2024.
All research outputs
#2,683,098
of 25,605,018 outputs
Outputs from BMC Genomics
#763
of 11,289 outputs
Outputs of similar age
#36,460
of 361,834 outputs
Outputs of similar age from BMC Genomics
#18
of 256 outputs
Altmetric has tracked 25,605,018 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 11,289 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 93% 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 361,834 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 256 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 93% of its contemporaries.