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X Demographics
Mendeley readers
Attention Score in Context
| Title |
What makes a bad egg? Egg transcriptome reveals dysregulation of translational machinery and novel fertility genes important for fertilization
|
|---|---|
| Published in |
BMC Genomics, July 2019
|
| DOI | 10.1186/s12864-019-5930-8 |
| Pubmed ID | |
| Authors |
Caroline T. Cheung, Thao-vi Nguyen, Aurélie Le Cam, Amélie Patinote, Laurent Journot, Christelle Reynes, Julien Bobe |
X Demographics
The data shown below were collected from the profiles of 13 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 | 4 | 31% |
| France | 3 | 23% |
| United States | 1 | 8% |
| Argentina | 1 | 8% |
| Poland | 1 | 8% |
| Unknown | 3 | 23% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 62% |
| Scientists | 5 | 38% |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 41 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 22% |
| Student > Master | 7 | 17% |
| Student > Ph. D. Student | 4 | 10% |
| Student > Doctoral Student | 2 | 5% |
| Student > Bachelor | 1 | 2% |
| Other | 3 | 7% |
| Unknown | 15 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 12 | 29% |
| Biochemistry, Genetics and Molecular Biology | 9 | 22% |
| Medicine and Dentistry | 2 | 5% |
| Chemistry | 1 | 2% |
| Design | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 16 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 04 November 2019.
All research outputs
#3,984,331
of 23,152,542 outputs
Outputs from BMC Genomics
#1,574
of 10,712 outputs
Outputs of similar age
#78,352
of 346,206 outputs
Outputs of similar age from BMC Genomics
#32
of 212 outputs
Altmetric has tracked 23,152,542 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,712 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 85% 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 346,206 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 77% of its contemporaries.
We're also able to compare this research output to 212 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.